275 15h Left Lead Etl Test Engineer jobs in Pune
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Data Integration Engineer
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Data Integration Lead
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Data Integration Engineer
Posted today
Job Viewed
Job Description
Description
Primaryskill : Datastage, Unix, SQL
SecondarySkill : Oracle SQL
Responsibilities
*Experience in Performance tuning,
• Experience with project feasibility, definitionrequirements, design, testing and project delivery.
•Experience with Agile project methodologies.
Required Skills
• ETLdevelopment using DataStage 11.7
• Exposure to DevOps practices
• Strong in PL/SQL and UNIX shell scripting
• Ability to pick up other ETL tools when required
• Communicate clearly with both technical andnon-technical audiences
• Proven problem solving and organizational skills
• Strong interpersonal and teamwork skills
• Work in a manner in keeping with the NorthernTrust company’s core values
• Fast learner
• Self-motivated
Preferred/ Recommended Skills:
•Experience in Trading and/or financial industry
•Understanding of reconciliation functional knowledge is a big plus
Data Engineer-Data Integration
Posted today
Job Viewed
Job Description
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 a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the client's needs.
* Your primary responsibilities include: * Design, build, optimize and support new and existing data models and ETL processes based on our client's business requirements
* Build, deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization.
* Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too
**Required technical and professional expertise**
* Design, develop, and maintain Ab Initio graphs for extracting, transforming, and loading (ETL) data from diverse sources to various target systems.
* Implement data quality and validation processes within Ab Initio. Data Modelling and Analysis.
* Collaborate with data architects and business analysts to understand data requirements and translate them into effective ETL processes.
* Analyse and model data to ensure optimal ETL design and performance.
* Ab Initio Components, Utilize Ab Initio components such as Transform Functions, Rollup, Join, Normalize, and others to build scalable and efficient data integration solutions. Implement best practices for reusable Ab Initio components
**Preferred technical and professional experience**
* Optimize Ab Initio graphs for performance, ensuring efficient data processing and minimal resource utilization. Conduct performance tuning and troubleshooting as needed. Collaboration.
* Work closely with cross-functional teams, including data analysts, database administrators, and quality assurance, to ensure seamless integration of ETL processes.
* Participate in design reviews and provide technical expertise to enhance overall solution quality. Documentation
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.
Data Engineer-Data Integration
Posted 1 day ago
Job Viewed
Job Description
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 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
**Required technical and professional expertise**
* Expertise in Data warehousing/ information Management/ Data Integration/Business Intelligence using ETL tool Informatica PowerCenter
* Knowledge of Cloud, Power BI, Data migration on cloud skills.
* Experience in Unix shell scripting and python
* Experience with relational SQL, Big Data etc
**Preferred technical and professional experience**
* Knowledge of MS-Azure Cloud
* Experience in Informatica PowerCenter
* Experience in Unix shell scripting and python
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.
Data Engineer-Data Integration
Posted 1 day ago
Job Viewed
Job Description
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 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
**Required technical and professional expertise**
* Expertise in Data warehousing/ information Management/ Data Integration/Business Intelligence using ETL tool Informatica PowerCenter
* Knowledge of Cloud, Power BI, Data migration on cloud skills.
* Experience in Unix shell scripting and python
* Experience with relational SQL, Big Data etc
**Preferred technical and professional experience**
* Knowledge of MS-Azure Cloud
* Experience in Informatica PowerCenter
* Experience in Unix shell scripting and python
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.
Data Engineer-Data Integration
Posted 1 day ago
Job Viewed
Job Description
In this role, you will 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.
A career in IBM Consulting embraces long-term relationships and close collaboration with clients across the globe.
You will collaborate with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including IBM Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you will be supported by mentors and coaches who will encourage you to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground-breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and learning opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
As 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 seach 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 behaviors.
* Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results
Your primary responsibilities include:
* Develop & maintain data pipelines for batch & stream processing using informatica power centre or cloud ETL/ELT tools.
* Liaise with business team and technical leads, gather requirements, identify data sources, identify data quality issues, design target data structures, develop pipelines and data processing routines, perform unit testing and support UAT.
* Work with data scientist and business analytics team to assist in data ingestion and data-related technical issues.
**Required technical and professional expertise**
* Expertise in Data warehousing/ information Management/ Data Integration/Business Intelligence using ETL tool Informatica PowerCenter
* Knowledge of Cloud, Power BI, Data migration on cloud skills.
* Experience in Unix shell scripting and python
* Experience with relational SQL, Big Data etc
**Preferred technical and professional experience**
* Knowledge of MS-Azure Cloud
* Experience in Informatica PowerCenter
* Experience in Unix shell scripting and python
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.
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Data Engineer-Data Integration
Posted 1 day ago
Job Viewed
Job Description
In this role, you will 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.
A career in IBM Consulting embraces long-term relationships and close collaboration with clients across the globe.
You will collaborate with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including IBM Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you will be supported by mentors and coaches who will encourage you to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground-breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and learning opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
As 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 seach 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 behaviors.
* Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results
Your primary responsibilities include:
* Develop & maintain data pipelines for batch & stream processing using informatica power centre or cloud ETL/ELT tools.
* Liaise with business team and technical leads, gather requirements, identify data sources, identify data quality issues, design target data structures, develop pipelines and data processing routines, perform unit testing and support UAT.
* Work with data scientist and business analytics team to assist in data ingestion and data-related technical issues.
**Required technical and professional expertise**
* Expertise in Data warehousing/ information Management/ Data Integration/Business Intelligence using ETL tool Informatica PowerCenter
* Knowledge of Cloud, Power BI, Data migration on cloud skills.
* Experience in Unix shell scripting and python
* Experience with relational SQL, Big Data etc
**Preferred technical and professional experience**
* Knowledge of MS-Azure Cloud
* Experience in Informatica PowerCenter
* Experience in Unix shell scripting and python
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.
Data Engineer-Data Integration

Posted 2 days ago
Job Viewed
Job Description
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 a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs.
Your primary responsibilities include:
* Design, build, optimize and support new and existing data models and ETL processes based on our clients business requirements.
* Build, deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization.
* Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too
**Required technical and professional expertise**
* Design, develop, and maintain Ab Initio graphs for extracting, transforming, and loading (ETL) data from diverse sources to various target systems.
* Implement data quality and validation processes within Ab Initio. Data Modeling and Analysis:.
* Collaborate with data architects and business analysts to understand data requirements and translate them into effective ETL processes.
* Analyze and model data to ensure optimal ETL design and performance.
* Ab Initio Components:. . Utilize Ab Initio components such as Transform Functions, Rollup, Join, Normalize, and others to build scalable and efficient data integration solutions. Implement best practices for reusable Ab Initio components
**Preferred technical and professional experience**
* Optimize Ab Initio graphs for performance, ensuring efficient data processing and minimal resource utilization. Conduct performance tuning and troubleshooting as needed.
* Collaboration: Work closely with cross-functional teams, including data analysts, database administrators, and quality assurance, to ensure seamless integration of ETL processes.
* Participate in design reviews and provide technical expertise to enhance overall solution quality Documentation
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.
Data Engineer-Data Integration

Posted 2 days ago
Job Viewed
Job Description
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 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 behaviour's.
* 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**
* Expertise in designing and implementing scalable data warehouse solutions on Snowflake, including schema design, performance tuning, and query optimization.
* Strong experience in building data ingestion and transformation pipelines using Talend to process structured and unstructured data from various sources.
* Proficiency in integrating data from cloud platforms into Snowflake using Talend and native Snowflake capabilities.
* Hands-on experience with dimensional and relational data modelling techniques to support analytics and reporting requirements
**Preferred technical and professional experience**
* Understanding of optimizing Snowflake workloads, including clustering keys, caching strategies, and query profiling.
* Ability to implement robust data validation, cleansing, and governance frameworks within ETL processes.
* Proficiency in SQL and/or Shell scripting for custom transformations and automation tasks
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.