Data Engineer-Data Modeling
Bangalore, Karnataka
IBM
Posted today
Job Viewed
Job Description
**Introduction**
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
**Your role and responsibilities**
As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing.
Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets.
In this role, your responsibilities may include:
* Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques
* Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements
* Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours.
* Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results
**Required technical and professional expertise**
* 4+ years of experience in data modelling, data architecture.
* Proficiency in data modelling tools ERwin, IBM Infosphere Data Architect and database management systems
* Familiarity with different data models like relational, dimensional and NoSQl databases.
* Understanding of business processes and how data supports business decision making.
* Strong understanding of database design principles, data warehousing concepts, and data governance practices
**Preferred technical and professional experience**
* Excellent analytical and problem-solving skills with a keen attention to detail.
* Ability to work collaboratively in a team environment and manage multiple projects simultaneously.
* Knowledge of programming languages such as SQL
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
**Your role and responsibilities**
As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing.
Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets.
In this role, your responsibilities may include:
* Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques
* Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements
* Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours.
* Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results
**Required technical and professional expertise**
* 4+ years of experience in data modelling, data architecture.
* Proficiency in data modelling tools ERwin, IBM Infosphere Data Architect and database management systems
* Familiarity with different data models like relational, dimensional and NoSQl databases.
* Understanding of business processes and how data supports business decision making.
* Strong understanding of database design principles, data warehousing concepts, and data governance practices
**Preferred technical and professional experience**
* Excellent analytical and problem-solving skills with a keen attention to detail.
* Ability to work collaboratively in a team environment and manage multiple projects simultaneously.
* Knowledge of programming languages such as SQL
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
This advertiser has chosen not to accept applicants from your region.
0
Data Engineer-Data Modeling
Bangalore, Karnataka
IBM
Posted today
Job Viewed
Job Description
**Introduction**
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
**Your role and responsibilities**
As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing.
Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets.
In this role, your responsibilities may include:
* Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques
* Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements
* Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours.
* Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results
**Required technical and professional expertise**
* 4+ years of experience in data modelling, data architecture.
* Proficiency in data modelling tools ERwin, IBM Infosphere Data Architect and database management systems
* Familiarity with different data models like relational, dimensional and NoSQl databases.
* Understanding of business processes and how data supports business decision making.
* Strong understanding of database design principles, data warehousing concepts, and data governance practices
**Preferred technical and professional experience**
* Excellent analytical and problem-solving skills with a keen attention to detail.
* Ability to work collaboratively in a team environment and manage multiple projects simultaneously.
* Knowledge of programming languages such as SQL
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
**Your role and responsibilities**
As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing.
Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets.
In this role, your responsibilities may include:
* Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques
* Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements
* Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours.
* Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results
**Required technical and professional expertise**
* 4+ years of experience in data modelling, data architecture.
* Proficiency in data modelling tools ERwin, IBM Infosphere Data Architect and database management systems
* Familiarity with different data models like relational, dimensional and NoSQl databases.
* Understanding of business processes and how data supports business decision making.
* Strong understanding of database design principles, data warehousing concepts, and data governance practices
**Preferred technical and professional experience**
* Excellent analytical and problem-solving skills with a keen attention to detail.
* Ability to work collaboratively in a team environment and manage multiple projects simultaneously.
* Knowledge of programming languages such as SQL
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
This advertiser has chosen not to accept applicants from your region.
1
Data Engineer-Data Modeling
Bangalore, Karnataka
IBM
Posted today
Job Viewed
Job Description
**Introduction**
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
**Your role and responsibilities**
As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing.
Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets.
In this role, your responsibilities may include:
* Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques
* Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements
* Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours.
* Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results
**Required technical and professional expertise**
* 4+ years of experience in data modelling, data architecture.
* Proficiency in data modelling tools ERwin, IBM Infosphere Data Architect and database management systems
* Familiarity with different data models like relational, dimensional and NoSQl databases.
* Understanding of business processes and how data supports business decision making.
* Strong understanding of database design principles, data warehousing concepts, and data governance practices
**Preferred technical and professional experience**
* Excellent analytical and problem-solving skills with a keen attention to detail.
* Ability to work collaboratively in a team environment and manage multiple projects simultaneously.
* Knowledge of programming languages such as SQL
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
**Your role and responsibilities**
As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing.
Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets.
In this role, your responsibilities may include:
* Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques
* Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements
* Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours.
* Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results
**Required technical and professional expertise**
* 4+ years of experience in data modelling, data architecture.
* Proficiency in data modelling tools ERwin, IBM Infosphere Data Architect and database management systems
* Familiarity with different data models like relational, dimensional and NoSQl databases.
* Understanding of business processes and how data supports business decision making.
* Strong understanding of database design principles, data warehousing concepts, and data governance practices
**Preferred technical and professional experience**
* Excellent analytical and problem-solving skills with a keen attention to detail.
* Ability to work collaboratively in a team environment and manage multiple projects simultaneously.
* Knowledge of programming languages such as SQL
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
This advertiser has chosen not to accept applicants from your region.
2
Data Modeling Techniques And Methodologies
560001 Bangalore, Karnataka
2coms
Posted 441 days ago
Job Viewed
Job Description
Hi All,
Greetings for the day!
We are hiring for one of our renowned IT Global MNC Clients.
PFB the job details
Job Title : data Modeling Techniques and Methodologies
Job Location : Bangalore /Mumbai/Chennai /Hyderabad/Kolkata
Total Exp = 6+yrs
Rel Exp = 5+ years Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies. - Strong understanding of relational and dimensional data modeling concepts. - Experience with data modeling tools such as ERwin or PowerDesigner. - Knowledge of SQL and database management systems. - Familiarity with data integration and ETL processes. - Good To Have Skills: Experience with data governance and metadata management. - Experience with cloud-based data platforms such as AWS or Azure. - Knowledge of big data technologies like Hadoop or Spark. Additional Information: - The candidate should have a minimum of 5 years of experience in Data Modeling Techniques and Methodologies. - This position is based at our Bengaluru office. - A 15 years full time education is required.
This advertiser has chosen not to accept applicants from your region.
3
Architect - Data Modeling (Bangalore / Chennai / Hyderabad)
560001 Bangalore, Karnataka
2coms
Posted 576 days ago
Job Viewed
Job Description
About ClientOur Client is a global leader in AI and Analytics, helping Fortune 1000 companies solve their toughest challenges.They have a team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare.Our client are Great Place to Work-Certified.They are ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine. Job Responsibility As an Architect, you will work to solve some of the most complex and captivating data management problems that would enable them as a data-driven organization; Seamlessly switch between roles of an Individual Contributor, team member, and Data Modeling Architect as demanded by each project to define, design, and deliver actionable insights. On a typical day, you might Engage the clients & understand the business requirements to translate those into data models. Create and maintain a Logical Data Model (LDM) and Physical Data Model (PDM) by applying best practices to provide business insights. Create and maintain the Source to Target Data Mapping document that includes documentation of all entities, attributes, data relationships, primary and foreign key structures, allowed values, codes, business rules, glossary terms, etc. Gather and publish Data Dictionaries. Involve in maintaining data models as well as capturing data models from existing databases and recording descriptive information. Build data warehouse & data marts (on Cloud) while performing data profiling and quality analysis. Use version control to maintain versions of data models. Design and develop data extraction and integration code modules. Partner with the data engineers & testing practitioners to strategize ingestion logic, consumption patterns & testing. Ideate to design & develop the next-gen data platform by collaborating with crossfunctional stakeholders. Involve in monitoring the project progress to keep the leadership teams informed on the milestones, impediments, etc. Coach team members, and review code artifactsRequirements10+ years of experience in Data space. Significant experience in one or more RDBMS (Oracle, DB2, and SQL Server) Real-time experience working in OLAP & OLTP database models (Dimensional models). Comprehensive understanding of Star schema, Snowflake schema, and Data Vault Modelling. Also, on any ETL tool, Data Governance, and Data quality. Eye to analyze data & comfortable with following agile methodology. Adept understanding of any of the cloud services is preferred (Azure, AWS & GCP) Enthuse to coach team members & collaborate with various stakeholders across the organization and take complete ownership of deliverables.
This advertiser has chosen not to accept applicants from your region.
4
Data Engineer - Data Modeling (Bangalore / Chennai / Hyderabad)
560001 Bangalore, Karnataka
2coms
Posted 600 days ago
Job Viewed
Job Description
About Client Our Client is a global leader in AI and Analytics, helping Fortune 1000 companies solve their toughest challenges.They have a team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare.Our client are Great Place to Work-Certified.They are ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.Job ResponsibilityThe Data Modeler will be responsible for the design, development, and maintenance of data models and standards for Enterprise data platforms. Understand the Business Requirements and the corresponding data sets. Translate business requirements into working logical and physical Service Layer Data models. Create and maintain Logical Data Model (LDM) and Physical Data Model (PDM) applying best practices and providing business insights. Create and maintain the Source to Target Data Mapping document. Includes documentation of all entities, attributes, data relationships, primary and foreign key structures, allowed values, codes, business rules, glossary terms, etc. Gather and Publish Data Dictionaries: Maintain data models and capture data models from existing databases and record descriptive information. Build data warehouse & data marts (on Cloud) while performing data profiling and quality analysis. Use Version control to maintain versions of data models Design and develop data extraction and integration code modules. Work with the Data Engineers to define the Ingestion logic, ingestion frequency and data consumption patternsRequirements Required Experience, Skills & Competencies: Strong experience in one or more RDBMS systems (such as Oracle, DB2, SQL Server) Good understanding of Star schema, Snowflake schema, Data Vault Modelling Good experience in OLTP and OLAP systems Excellent Data Analysis skills Good Experience on one or more Cloud DW (e.g. Snowflake, Redshift, Synapse) Experience on one or more cloud platforms (e.g. AWS, Azure, GCP) Understanding of DevOps process Hands-on experience in any Data Modelling Tool Good understanding of one or more ETL tool Excellent Communication skills Minimum 3 years of relevant hands-on experience
This advertiser has chosen not to accept applicants from your region.
5
Senior Data Engineer - Data Modeling (Bangalore / Chennai / Hyderabad)
560001 Bangalore, Karnataka
2coms
Posted 576 days ago
Job Viewed
Job Description
About Client Our Client is a global leader in AI and Analytics, helping Fortune 1000 companies solve their toughest challenges.They have a team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare.Our client are Great Place to Work-Certified.They are ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine. Job Responsibility As a Senior Data Engineer, you will work to solve some of the most complex and captivating data management problems that would enable them as a data-driven organization; Seamlessly switch between roles of an Individual Contributor, team member, and Data Modeling Architect as demanded by each project to define, design, and deliver actionable insights. On a typical day, you might Engage the clients & understand the business requirements to translate those into data models. Create and maintain a Logical Data Model (LDM) and Physical Data Model (PDM) by applying best practices to provide business insights. Create and maintain the Source to Target Data Mapping document that includes documentation of all entities, attributes, data relationships, primary and foreign key structures, allowed values, codes, business rules, glossary terms, etc. Gather and publish Data Dictionaries Involve in maintaining data models as well as capturing data models from existing databases and recording descriptive information. Build data warehouse & data marts (on Cloud) while performing data profiling and quality analysis. Use version control to maintain versions of data models. Design and develop data extraction and integration code modules. Partner with the data engineers to strategize ingestion logic, and consumption patternsRequirements6+ years of experience in Data space. Significant experience in one or more RDBMS (Oracle, DB2, and SQL Server) Real-time experience working in OLAP & OLTP database models (Dimensional models). Comprehensive understanding of Star schema, Snowflake schema, and Data Vault Modelling. Also, on any ETL tool, Data Governance, and Data quality. Eye to analyze data & comfortable with following agile methodology. Adept understanding of any of the cloud services is preferred (Azure, AWS & GCP).
This advertiser has chosen not to accept applicants from your region.
Be The First To Know
About the latest Databases Jobs in Bangalore !
6
Senior Data Scientist - Financial Modeling
560001 Bangalore, Karnataka
₹2000000 Annually
WhatJobs
Posted 20 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is looking for a highly analytical Senior Data Scientist to join their quantitative analytics team in Bengaluru, Karnataka . This role will focus on developing advanced statistical and machine learning models to support strategic decision-making in areas such as risk management, fraud detection, and investment strategies. You will be responsible for the entire data science lifecycle, from data acquisition and preprocessing to model development, validation, and deployment. The ideal candidate will possess a strong understanding of financial markets and instruments, coupled with deep expertise in statistical modeling, predictive analytics, and machine learning algorithms. Responsibilities include exploring large datasets, identifying patterns and insights, and building robust predictive models using programming languages such as Python or R. You will also be involved in designing A/B tests, interpreting experimental results, and communicating complex findings clearly and concisely to business stakeholders, including senior management. Collaboration with other data scientists, engineers, and business analysts is crucial. A Ph.D. or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline, with a minimum of 6 years of relevant experience in data science, particularly within the financial services sector, is required. Proven experience in building and deploying financial models, such as credit scoring, market risk, or algorithmic trading models, is essential. Familiarity with big data technologies (e.g., Spark, Hadoop) and database querying languages (e.g., SQL) is also required. This is an exciting opportunity to leverage cutting-edge data science techniques to drive innovation and solve complex challenges within the dynamic world of finance. You will contribute to shaping the future of financial services through data-driven insights.
This advertiser has chosen not to accept applicants from your region.
7
Principal Engineer, Gemini in Databases
Bengaluru, Karnataka
Google
Posted 1 day ago
Job Viewed
Job Description
Principal Engineer, Gemini in Databases
_corporate_fare_ Google _place_ Bengaluru, Karnataka, India _bar_chart_ Director **Minimum qualifications:**
+ Bachelor's degree in Computer Science, Mathematics or other relevant engineering discipline or equivalent practical experience.
+ 15 years of experience working as a technical software engineering leader or 13 years with an advanced degree.
+ Experience with technical innovation within cross-functional engineering environments.
**Preferred qualifications:**
+ Master's degree or PhD in Computer Science, Mathematics or other relevant engineering discipline.
+ Experience successfully producing software products and large-scale distributed systems.
+ Experience with building enterprise-grade and highly scalable cloud platforms, products, and large-scale distributed systems.
+ Experience with Operating Systems, distributed systems, IaaS Components.
**About the job**
We are seeking a highly accomplished and visionary Principal Engineer to lead the technical strategy and development for Google Cloud's next generation of AI-powered database intelligence. This pivotal role will focus on integrating cutting-edge Gemini AI capabilities across our database offerings, delivering proactive insights and transforming how customers manage and optimize their database environments.
In this role, you will be instrumental in shaping the future of database operations. You will define the long-term technical strategy for these groundbreaking initiatives, collaborating closely with product, engineering and research leadership to ensure seamless alignment between technology innovation and business objectives. You will leverage your deep expertise in cloud-native architectures, large-scale data systems and applied AI to design and build highly scalable, secure and intuitive solutions.
You'll work alongside other technical leads on complex problems spanning applied AI, agentic architectures and distributed systems, ensuring operational excellence, production accuracy and exceptional software quality. Your leadership will be critical in driving engineering productivity and establishing Google Cloud as the undisputed leader in AI-powered intelligent databases.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
**Responsibilities**
+ Provide architecture and technical direction for the team by being an expert in cloud application management.
+ Strategize and create the technical roadmap for building agentic, LLM-powered platforms, analytics and tooling to transform the Google Cloud Databases experiences.
+ Influence, guide, mentor and direct multiple Engineering Technical Leads across each product area.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
_corporate_fare_ Google _place_ Bengaluru, Karnataka, India _bar_chart_ Director **Minimum qualifications:**
+ Bachelor's degree in Computer Science, Mathematics or other relevant engineering discipline or equivalent practical experience.
+ 15 years of experience working as a technical software engineering leader or 13 years with an advanced degree.
+ Experience with technical innovation within cross-functional engineering environments.
**Preferred qualifications:**
+ Master's degree or PhD in Computer Science, Mathematics or other relevant engineering discipline.
+ Experience successfully producing software products and large-scale distributed systems.
+ Experience with building enterprise-grade and highly scalable cloud platforms, products, and large-scale distributed systems.
+ Experience with Operating Systems, distributed systems, IaaS Components.
**About the job**
We are seeking a highly accomplished and visionary Principal Engineer to lead the technical strategy and development for Google Cloud's next generation of AI-powered database intelligence. This pivotal role will focus on integrating cutting-edge Gemini AI capabilities across our database offerings, delivering proactive insights and transforming how customers manage and optimize their database environments.
In this role, you will be instrumental in shaping the future of database operations. You will define the long-term technical strategy for these groundbreaking initiatives, collaborating closely with product, engineering and research leadership to ensure seamless alignment between technology innovation and business objectives. You will leverage your deep expertise in cloud-native architectures, large-scale data systems and applied AI to design and build highly scalable, secure and intuitive solutions.
You'll work alongside other technical leads on complex problems spanning applied AI, agentic architectures and distributed systems, ensuring operational excellence, production accuracy and exceptional software quality. Your leadership will be critical in driving engineering productivity and establishing Google Cloud as the undisputed leader in AI-powered intelligent databases.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
**Responsibilities**
+ Provide architecture and technical direction for the team by being an expert in cloud application management.
+ Strategize and create the technical roadmap for building agentic, LLM-powered platforms, analytics and tooling to transform the Google Cloud Databases experiences.
+ Influence, guide, mentor and direct multiple Engineering Technical Leads across each product area.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
This advertiser has chosen not to accept applicants from your region.
8
Staff Software Engineer, Spanner, Databases
Bengaluru, Karnataka
Google
Posted 1 day ago
Job Viewed
Job Description
Staff Software Engineer, Spanner, Databases
_corporate_fare_ Google _place_ Bengaluru, Karnataka, India
**Advanced**
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ 8 years of experience in software development and technical leadership.
+ Experience contributing to product strategy and roadmap.
+ Experience engaging with external and internal customers.
**Preferred qualifications:**
+ Experience with Distributed Systems.
+ Experience with PostGreSQL or MySQL, C++.
+ Ability to work across boundaries in a distributed team.
+ Ability to lead, mentor, and grow technical leads and team members.
**About the job**
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
**Responsibilities**
+ Lead a team of engineers to design, develop, and deploy new Spanner features and enhancements, and provide technical guidance, mentorship, and code reviews to ensure quality software development.
+ Architect and design scalable, reliable systems that meet the needs of Spanner's growing customer base, and make data based decisions to drive product strategy and ideas.
+ Propose and implement new features that enhance Spanner's capabilities and differentiate it from participants.
+ Troubleshoot technical issues, analyze performance issues, and develop innovative solutions to address customer issues, and collaborate with cross-functional teams to resolve issues.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
_corporate_fare_ Google _place_ Bengaluru, Karnataka, India
**Advanced**
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ 8 years of experience in software development and technical leadership.
+ Experience contributing to product strategy and roadmap.
+ Experience engaging with external and internal customers.
**Preferred qualifications:**
+ Experience with Distributed Systems.
+ Experience with PostGreSQL or MySQL, C++.
+ Ability to work across boundaries in a distributed team.
+ Ability to lead, mentor, and grow technical leads and team members.
**About the job**
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
**Responsibilities**
+ Lead a team of engineers to design, develop, and deploy new Spanner features and enhancements, and provide technical guidance, mentorship, and code reviews to ensure quality software development.
+ Architect and design scalable, reliable systems that meet the needs of Spanner's growing customer base, and make data based decisions to drive product strategy and ideas.
+ Propose and implement new features that enhance Spanner's capabilities and differentiate it from participants.
+ Troubleshoot technical issues, analyze performance issues, and develop innovative solutions to address customer issues, and collaborate with cross-functional teams to resolve issues.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
This advertiser has chosen not to accept applicants from your region.
9