278 Cloud Database Management jobs in India

Data Modeling

Hyderabad, Andhra Pradesh Virtusa

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Data Modeling - CREQ Description GDT WPB DF Data Expert JD:

Mandatory Skills
Strong Data Analysis and/or Data Modeling experience of 8-12 years.
Strong financial domain and data analysis skills with experience covering activities like requirement gathering, elicitation skills, gap analysis, data analysis, effort estimation, reviews, ability to translate the high-level functional data or business requirements into technical solution, database designing and data mapping.
Comprehensive understanding of the Data Modeling conceptual, logical, and physical, create and deliver high-quality data models, by following agreed data governance and standards.Maintain quality metadata and data related artefacts which should be accurate, complete, consistent, unambiguous, reliable, accessible, traceable, and valid.
Should be an individual contributor with good understanding of the SDLC & Agile methodologies.
A team player with self-starter approach, having a sense of ownership, should be a problem solver with solution-seeking approach and an ability to work in fast paced and continuously changing environment.
Excellent communication & stakeholder management skills and should be capable of building rapport and relationships.
Act as a liaison between business and technical teams to bridge any gaps and assist the business teams & technical teams to successfully deliver the projects.
Other Skills and Tools SQL, MS Office tools, GCP Big Query, Erwin, Visual Paradigm preferable.
Responsibilities
Support the delivery of complex transformation program development within data portfolio.
Work within agile multi-skilled teams to create world class products to serve our customers needs.
Perform the elicitation and analysis of business change, functional and non functional requirements across a range of stakeholders, work with cross asset IT teams to interface those requirements and finally deliver a working reconciliation solution.
Own and produce relevant analysis and modeling artefacts that enable development teams to develop working products.
Understand the user journey end to end which goes beyond the system.
Provide advanced business knowledge and technical support for requirements development.
Create/enhance logical and physical data models by adhering to the agreed standards, to fulfil both business as well as technical requirements and expectations.
Undertake the metadata analysis which includes but not limited to naming of the logical entity and attributes and physical table and columns, definitions and appropriate data type and length etc.
Create and maintain the data models.

Primary Location Hyderabad, Andhra Pradesh, India Job Type Experienced Primary Skills Data Modelling for Analytical (OLAP) Years of Experience 6 Qualification

GDT WPB DF Data Expert JD:

Mandatory Skills
Strong Data Analysis and/or Data Modeling experience of 8-12 years.
Strong financial domain and data analysis skills with experience covering activities like requirement gathering, elicitation skills, gap analysis, data analysis, effort estimation, reviews, ability to translate the high-level functional data or business requirements into technical solution, database designing and data mapping.
Comprehensive understanding of the Data Modeling conceptual, logical, and physical, create and deliver high-quality data models, by following agreed data governance and standards.Maintain quality metadata and data related artefacts which should be accurate, complete, consistent, unambiguous, reliable, accessible, traceable, and valid.
Should be an individual contributor with good understanding of the SDLC & Agile methodologies.
A team player with self-starter approach, having a sense of ownership, should be a problem solver with solution-seeking approach and an ability to work in fast paced and continuously changing environment.
Excellent communication & stakeholder management skills and should be capable of building rapport and relationships.
Act as a liaison between business and technical teams to bridge any gaps and assist the business teams & technical teams to successfully deliver the projects.
Other Skills and Tools SQL, MS Office tools, GCP Big Query, Erwin, Visual Paradigm preferable.
Responsibilities
Support the delivery of complex transformation program development within data portfolio.
Work within agile multi-skilled teams to create world class products to serve our customers needs.
Perform the elicitation and analysis of business change, functional and non functional requirements across a range of stakeholders, work with cross asset IT teams to interface those requirements and finally deliver a working reconciliation solution.
Own and produce relevant analysis and modeling artefacts that enable development teams to develop working products.
Understand the user journey end to end which goes beyond the system.
Provide advanced business knowledge and technical support for requirements development.
Create/enhance logical and physical data models by adhering to the agreed standards, to fulfil both business as well as technical requirements and expectations.
Undertake the metadata analysis which includes but not limited to naming of the logical entity and attributes and physical table and columns, definitions and appropriate data type and length etc.
Create and maintain the data models.

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Data Modeling - BLR

Photon

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Job Description

Job Summary:

We are seeking a skilled Data Engineer with expertise in Data Modeling, SQL, Snowflake, Python, AWS, and NoSQL . The ideal candidate will be responsible for designing and implementing scalable data solutions, ensuring efficient data storage, retrieval, and processing. Experience in NoSQL Data Modeling is a plus.

Key Responsibilities:
  • Design and implement data models to support analytical and operational workloads.
  • Develop, optimize, and manage SQL queries for data extraction, transformation, and loading (ETL).
  • Work extensively with Snowflake to build scalable data pipelines and warehouses.
  • Develop and maintain Python scripts for data processing and automation.
  • Implement AWS services for cloud-based data solutions.
  • Work with NoSQL databases to handle semi-structured and unstructured data.
  • Ensure data accuracy, consistency, and security across various storage systems.
  • Collaborate with data scientists, analysts, and software engineers to deliver business insights.
  • Required Skills:
  • Strong experience in Data Modeling (Relational & NoSQL).
  • Proficiency in SQL and experience with database technologies.
  • Hands-on experience with Snowflake for data warehousing.
  • Strong programming skills in Python for data processing.
  • Expertise in AWS cloud services for data infrastructure.
  • Experience working with NoSQL databases .
  • Good to Have:
  • Experience in NoSQL Data Modeling best practices.
  • Location: Bangalore

    Experience: 6-9 Years

    This advertiser has chosen not to accept applicants from your region.

    Data Engineer-Data Modeling

    Pune, Maharashtra IBM

    Posted 2 days ago

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    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.
    This advertiser has chosen not to accept applicants from your region.

    Data Modeling Techniques and Methodologies Data

    Bengaluru, Karnataka Accenture

    Posted today

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    Job Description

    Accenture | Let there be change

    We embrace change to create 360-degree value
    - **Project Role**:Data Modeler
    - ** Management Level**:10
    - ** Work Experience**:4-6 years
    - ** Work location**:Bengaluru
    - ** Must Have Skills**:

    - ** Good To Have Skills**:

    - ** Job Requirements:
    **- **Key Responsibilities **:1- Be a part of an agile scrum team ,duties will include attending daily scrums, sprint reviews, sprint retrospectives and planning meetings 2-Develop and maintain conceptual, logical and physical data models along with its corresponding metadata 3-Perform data mapping based on data source schemas and reverse engineering of existing transformations from multiple source database systems on Cloud Data Platform 4-work closely with all the squad and product owners to implement data strategies
    - **
    Technical Experience **:Should have minimum 5 years of experience in the following: 1-ER Studio, ERWin, i-Server, Azure DevOps and techniques such as 3NF, dimensional star schema and snowflake and data vault 2-Experience in Data Modeling,SQL,Analytical problem-solving skills,Data Modelling tools 3- Downstream Domain Experience,building data model 4-Basic knowledge of Cloud Data Architecture 5-Reusing of data models in the new data lake environment
    - **
    Professional Attributes **:1: Good learning ability 2: Good communication skills 3: Good team player
    - **
    Educational Qualification **:Graduation

    15 years of full time education
    This advertiser has chosen not to accept applicants from your region.

    Big Data Engineer, Data Modeling

    Hyderabad, Andhra Pradesh data.ai

    Posted today

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    Job Description

    What can you tell your friends

    when they ask you what you do?

    We’re looking for an experienced Big Data Engineer who can create innovative new products in the analytics and data space. You will participate in the development that creates the world's #1 mobile app analytics service. Together with the team, you will build out new product features and applications using agile methodologies and open-source technologies. You will work directly with Data Scientists, Data Engineers, Product Managers, and Software Architects, and will be on the front lines of coding new and exciting analytics and data mining products. You should be passionate about what you do and excited to join an entrepreneurial start-­up.

    To ensure we execute on our values we are looking for someone who has a passion for:

    As a Big Data Engineer, we will need you to be in charge of model implementation and maintenance, and to build a clean, robust, and maintainable data processing program that can support these projects on huge amounts of data, this includes

  • Able to design and implement complex data product components based on requirements with possible technical solutions.
  • Write data programs using Python (e.g., pyspark) with a commitment to maintaining high-quality work while being confident in dealing with data mining challenges.
  • Discover any feasible new technologies lying in the Big Data ecosystem, for example, the Hadoop ecosystem, and share them with to team with your professional perspectives.
  • Get up to speed in the data science and machine learning domain, implementing analysis components in a distributed computing environment (e.g., MapReduce implementation) with instruction from Data Scientists.
  • Be comfortable conducting detailed discussions with Data Scientists regarding specific questions related to specific data models.
  • You should be a strong problem solver with proven experience in big data.
  • You should recognize yourself in the following…

  • Hands-on experience and deep knowledge of the Hadoop ecosystem.
  • Must: PySpark, MapReduce, HDFS.
  • Plus: Storm, Kafka.
  • Must have 2+ years of Linux environment development experience.
  • Proficient with programming in Python & Scala, experience in Pandas, Sklearn or Other data science and data analysis toolset is a big plus.
  • Experience in data pipeline design & automation.
  • Having a background in data mining, analytics & data science components implementation, and machine learning domain, familiarity with common algorithms and libs is a plus.
  • Passion for cloud computing (AWS in particular) and distributed systems.
  • You must be a great problem solver with the ability to dive deeply into complex problems and emerge with clear and pragmatic solutions.
  • Good communication, and cooperation globally.
  • Major in Math or Computer Science.
  • You are driven by passion for innovation that pushes us closer to our vision in everything we do. Centering around our purpose and our hunger for new innovations is the foundation that allows us to grow and unlock the potential in AI.
  • You are an Ideal Team Player: You are hungry and no, we are not talking about food here. You are humble, yet love to succeed, especially as a team! You are smart, and not just book smart, you have a great read on people.
  • This position is located in Hyderabad, India.

    We are hiring for our engineering team at our data.ai India subsidiary entity, which is in the process of getting established . As we are awaiting approval from the Indian government, they shall be interim employees at Innova Solutions who is our Global Employer of Record.

    This advertiser has chosen not to accept applicants from your region.

    Technical Architect - Data Modeling Job

    Pune, Maharashtra YASH Technologies

    Posted today

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    Job Description

    Job Description

  • Design and develop conceptual, logical, and physical data models  for OLTP and OLAP systems.
  • Collaborate with business analysts and data engineers to understand data requirements.
  • Ensure models support data governance data quality , and data integration  standards.
  • Maintain and update data models as business needs evolve.
  • Create and manage metadata repositories  and data dictionaries .
  • Optimize data models for performance scalability , and security .
  • Work with database administrators to implement models in relational and NoSQL databases.
  • Support ETL processes  and data warehousing  initiatives.
  • Proven experience in data modeling tools  (e.g., Erwin, SAP PowerDesigner, IBM InfoSphere).
  • Strong understanding of relational databases dimensional modeling , and normalization techniques .
  • Experience with SQL data warehousing , and ETL tools .
  • Familiarity with cloud platforms (e.g., AWS, Azure) is a plus.
  • Excellent communication and documentation skills.
  • Required Technical/ Functional Competencies

    Domain/ Industry Knowledge: 

  • Basic knowledge of customer's business processes- relevant technology platform or product.
  • Able to prepare process maps, workflows, business cases and simple business models in line with customer requirements with assistance from SME and apply industry standards/ practices in implementation with guidance from experienced team members.
  • Requirement Gathering and Analysis:

  • Working knowledge of requirement management processes and requirement analysis processes, tools & methodologies.
  • Able to analyse the impact of change requested/ enhancement/ defect fix and identify dependencies or interrelationships among requirements & transition requirements for engagement.
  • Product/ Technology Knowledge:

  • Working knowledge of technology product/platform standards and specifications.
  • Able to implement code or configure/customize products and provide inputs in design and architecture adhering to industry standards/ practices in implementation.
  • Analyze various frameworks/tools, review the code and provide feedback on improvement opportunities.
  • Architecture tools and frameworks:

  • Working knowledge of architecture Industry tools & frameworks.
  • Able to identify pros/ cons of available tools & frameworks in market and use those as per Customer requirement and explore new tools/ framework for implementation.
  • Architecture concepts and principles :

  • Working knowledge of architectural elements, SDLC, methodologies.
  • Able to provides architectural design/ documentation at an application or function capability level and implement architectural patterns in solution & engagements and communicates architecture direction to the business.
  • Analytics Solution Design:

  • Knowledge of statistical & machine learning techniques like classification, linear regression modelling, clustering & decision trees.
  • Able to identify the cause of errors and their potential solutions.
  • Tools & Platform Knowledge:

  • Familiar with wide range of mainstream commercial & open-source data science/analytics software tools, their constraints, advantages, disadvantages, and areas of application.
  • Required Behavioral Competencies

    Accountability:

  • Takes responsibility for and ensures accuracy of own work, as well as the work and deadlines of the team.
  • Collaboration:

  • Shares information within team, participates in team activities, asks questions to understand other points of view.
  • Agility:

  • Demonstrates readiness for change, asking questions and determining how changes could impact own work.
  • Customer Focus:

  • Identifies trends and patterns emerging from customer preferences and works towards customizing/ refining existing services to exceed customer needs and expectations.
  • Communication:

  • Targets communications for the appropriate audience, clearly articulating and presenting his/her position or decision.
  • Drives Results:

  • Sets realistic stretch goals for self & others to achieve and exceed defined goals/targets.
  • Resolves Conflict:

  • Displays sensitivity in interactions and strives to understand others’ views and concerns.
  • Certifications

    Mandatory At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles
  • Flexible work arrangements, Free spirit, and emotional positivity
  • Agile self-determination, trust, transparency, and open collaboration
  • All Support needed for the realization of business goals,
  • Stable employment with a great atmosphere and ethical corporate culture
  • This advertiser has chosen not to accept applicants from your region.

    Technical Architect - Data Modeling Job

    Indore, Madhya Pradesh YASH Technologies

    Posted today

    Job Viewed

    Tap Again To Close

    Job Description

    Job Description

  • Design and develop conceptual, logical, and physical data models  for OLTP and OLAP systems.
  • Collaborate with business analysts and data engineers to understand data requirements.
  • Ensure models support data governance data quality , and data integration  standards.
  • Maintain and update data models as business needs evolve.
  • Create and manage metadata repositories  and data dictionaries .
  • Optimize data models for performance scalability , and security .
  • Work with database administrators to implement models in relational and NoSQL databases.
  • Support ETL processes  and data warehousing  initiatives.
  • Proven experience in data modeling tools  (e.g., Erwin, SAP PowerDesigner, IBM InfoSphere).
  • Strong understanding of relational databases dimensional modeling , and normalization techniques .
  • Experience with SQL data warehousing , and ETL tools .
  • Familiarity with cloud platforms (e.g., AWS, Azure) is a plus.
  • Excellent communication and documentation skills.
  • Required Technical/ Functional Competencies

    Domain/ Industry Knowledge: 

  • Basic knowledge of customer's business processes- relevant technology platform or product.
  • Able to prepare process maps, workflows, business cases and simple business models in line with customer requirements with assistance from SME and apply industry standards/ practices in implementation with guidance from experienced team members.
  • Requirement Gathering and Analysis:

  • Working knowledge of requirement management processes and requirement analysis processes, tools & methodologies.
  • Able to analyse the impact of change requested/ enhancement/ defect fix and identify dependencies or interrelationships among requirements & transition requirements for engagement.
  • Product/ Technology Knowledge:

  • Working knowledge of technology product/platform standards and specifications.
  • Able to implement code or configure/customize products and provide inputs in design and architecture adhering to industry standards/ practices in implementation.
  • Analyze various frameworks/tools, review the code and provide feedback on improvement opportunities.
  • Architecture tools and frameworks:

  • Working knowledge of architecture Industry tools & frameworks.
  • Able to identify pros/ cons of available tools & frameworks in market and use those as per Customer requirement and explore new tools/ framework for implementation.
  • Architecture concepts and principles :

  • Working knowledge of architectural elements, SDLC, methodologies.
  • Able to provides architectural design/ documentation at an application or function capability level and implement architectural patterns in solution & engagements and communicates architecture direction to the business.
  • Analytics Solution Design:

  • Knowledge of statistical & machine learning techniques like classification, linear regression modelling, clustering & decision trees.
  • Able to identify the cause of errors and their potential solutions.
  • Tools & Platform Knowledge:

  • Familiar with wide range of mainstream commercial & open-source data science/analytics software tools, their constraints, advantages, disadvantages, and areas of application.
  • Required Behavioral Competencies

    Accountability:

  • Takes responsibility for and ensures accuracy of own work, as well as the work and deadlines of the team.
  • Collaboration:

  • Shares information within team, participates in team activities, asks questions to understand other points of view.
  • Agility:

  • Demonstrates readiness for change, asking questions and determining how changes could impact own work.
  • Customer Focus:

  • Identifies trends and patterns emerging from customer preferences and works towards customizing/ refining existing services to exceed customer needs and expectations.
  • Communication:

  • Targets communications for the appropriate audience, clearly articulating and presenting his/her position or decision.
  • Drives Results:

  • Sets realistic stretch goals for self & others to achieve and exceed defined goals/targets.
  • Resolves Conflict:

  • Displays sensitivity in interactions and strives to understand others’ views and concerns.
  • Certifications

    Mandatory At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles
  • Flexible work arrangements, Free spirit, and emotional positivity
  • Agile self-determination, trust, transparency, and open collaboration
  • All Support needed for the realization of business goals,
  • Stable employment with a great atmosphere and ethical corporate culture
  • This advertiser has chosen not to accept applicants from your region.
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    Technical Architect - Data Modeling Job

    Pune, Maharashtra YASH Technologies

    Posted today

    Job Viewed

    Tap Again To Close

    Job Description

    Job Description

  • Design and develop conceptual, logical, and physical data models  for OLTP and OLAP systems.
  • Collaborate with business analysts and data engineers to understand data requirements.
  • Ensure models support data governance data quality , and data integration  standards.
  • Maintain and update data models as business needs evolve.
  • Create and manage metadata repositories  and data dictionaries .
  • Optimize data models for performance scalability , and security .
  • Work with database administrators to implement models in relational and NoSQL databases.
  • Support ETL processes  and data warehousing  initiatives.
  • Proven experience in data modeling tools  (e.g., Erwin, SAP PowerDesigner, IBM InfoSphere).
  • Strong understanding of relational databases dimensional modeling , and normalization techniques .
  • Experience with SQL data warehousing , and ETL tools .
  • Familiarity with cloud platforms (e.g., AWS, Azure) is a plus.
  • Excellent communication and documentation skills.
  • Required Technical/ Functional Competencies

    Domain/ Industry Knowledge: 

  • Basic knowledge of customer's business processes- relevant technology platform or product.
  • Able to prepare process maps, workflows, business cases and simple business models in line with customer requirements with assistance from SME and apply industry standards/ practices in implementation with guidance from experienced team members.
  • Requirement Gathering and Analysis:

  • Working knowledge of requirement management processes and requirement analysis processes, tools & methodologies.
  • Able to analyse the impact of change requested/ enhancement/ defect fix and identify dependencies or interrelationships among requirements & transition requirements for engagement.
  • Product/ Technology Knowledge:

  • Working knowledge of technology product/platform standards and specifications.
  • Able to implement code or configure/customize products and provide inputs in design and architecture adhering to industry standards/ practices in implementation.
  • Analyze various frameworks/tools, review the code and provide feedback on improvement opportunities.
  • Architecture tools and frameworks:

  • Working knowledge of architecture Industry tools & frameworks.
  • Able to identify pros/ cons of available tools & frameworks in market and use those as per Customer requirement and explore new tools/ framework for implementation.
  • Architecture concepts and principles :

  • Working knowledge of architectural elements, SDLC, methodologies.
  • Able to provides architectural design/ documentation at an application or function capability level and implement architectural patterns in solution & engagements and communicates architecture direction to the business.
  • Analytics Solution Design:

  • Knowledge of statistical & machine learning techniques like classification, linear regression modelling, clustering & decision trees.
  • Able to identify the cause of errors and their potential solutions.
  • Tools & Platform Knowledge:

  • Familiar with wide range of mainstream commercial & open-source data science/analytics software tools, their constraints, advantages, disadvantages, and areas of application.
  • Required Behavioral Competencies

    Accountability:

  • Takes responsibility for and ensures accuracy of own work, as well as the work and deadlines of the team.
  • Collaboration:

  • Shares information within team, participates in team activities, asks questions to understand other points of view.
  • Agility:

  • Demonstrates readiness for change, asking questions and determining how changes could impact own work.
  • Customer Focus:

  • Identifies trends and patterns emerging from customer preferences and works towards customizing/ refining existing services to exceed customer needs and expectations.
  • Communication:

  • Targets communications for the appropriate audience, clearly articulating and presenting his/her position or decision.
  • Drives Results:

  • Sets realistic stretch goals for self & others to achieve and exceed defined goals/targets.
  • Resolves Conflict:

  • Displays sensitivity in interactions and strives to understand others’ views and concerns.
  • Certifications

    Mandatory At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles
  • Flexible work arrangements, Free spirit, and emotional positivity
  • Agile self-determination, trust, transparency, and open collaboration
  • All Support needed for the realization of business goals,
  • Stable employment with a great atmosphere and ethical corporate culture
  • This advertiser has chosen not to accept applicants from your region.

    Technical Architect - Data Modeling Job

    Hyderabad, Andhra Pradesh YASH Technologies

    Posted today

    Job Viewed

    Tap Again To Close

    Job Description

    Job Description

  • Design and develop conceptual, logical, and physical data models  for OLTP and OLAP systems.
  • Collaborate with business analysts and data engineers to understand data requirements.
  • Ensure models support data governance data quality , and data integration  standards.
  • Maintain and update data models as business needs evolve.
  • Create and manage metadata repositories  and data dictionaries .
  • Optimize data models for performance scalability , and security .
  • Work with database administrators to implement models in relational and NoSQL databases.
  • Support ETL processes  and data warehousing  initiatives.
  • Proven experience in data modeling tools  (e.g., Erwin, SAP PowerDesigner, IBM InfoSphere).
  • Strong understanding of relational databases dimensional modeling , and normalization techniques .
  • Experience with SQL data warehousing , and ETL tools .
  • Familiarity with cloud platforms (e.g., AWS, Azure) is a plus.
  • Excellent communication and documentation skills.
  • Required Technical/ Functional Competencies

    Domain/ Industry Knowledge: 

  • Basic knowledge of customer's business processes- relevant technology platform or product.
  • Able to prepare process maps, workflows, business cases and simple business models in line with customer requirements with assistance from SME and apply industry standards/ practices in implementation with guidance from experienced team members.
  • Requirement Gathering and Analysis:

  • Working knowledge of requirement management processes and requirement analysis processes, tools & methodologies.
  • Able to analyse the impact of change requested/ enhancement/ defect fix and identify dependencies or interrelationships among requirements & transition requirements for engagement.
  • Product/ Technology Knowledge:

  • Working knowledge of technology product/platform standards and specifications.
  • Able to implement code or configure/customize products and provide inputs in design and architecture adhering to industry standards/ practices in implementation.
  • Analyze various frameworks/tools, review the code and provide feedback on improvement opportunities.
  • Architecture tools and frameworks:

  • Working knowledge of architecture Industry tools & frameworks.
  • Able to identify pros/ cons of available tools & frameworks in market and use those as per Customer requirement and explore new tools/ framework for implementation.
  • Architecture concepts and principles :

  • Working knowledge of architectural elements, SDLC, methodologies.
  • Able to provides architectural design/ documentation at an application or function capability level and implement architectural patterns in solution & engagements and communicates architecture direction to the business.
  • Analytics Solution Design:

  • Knowledge of statistical & machine learning techniques like classification, linear regression modelling, clustering & decision trees.
  • Able to identify the cause of errors and their potential solutions.
  • Tools & Platform Knowledge:

  • Familiar with wide range of mainstream commercial & open-source data science/analytics software tools, their constraints, advantages, disadvantages, and areas of application.
  • Required Behavioral Competencies

    Accountability:

  • Takes responsibility for and ensures accuracy of own work, as well as the work and deadlines of the team.
  • Collaboration:

  • Shares information within team, participates in team activities, asks questions to understand other points of view.
  • Agility:

  • Demonstrates readiness for change, asking questions and determining how changes could impact own work.
  • Customer Focus:

  • Identifies trends and patterns emerging from customer preferences and works towards customizing/ refining existing services to exceed customer needs and expectations.
  • Communication:

  • Targets communications for the appropriate audience, clearly articulating and presenting his/her position or decision.
  • Drives Results:

  • Sets realistic stretch goals for self & others to achieve and exceed defined goals/targets.
  • Resolves Conflict:

  • Displays sensitivity in interactions and strives to understand others’ views and concerns.
  • Certifications

    Mandatory At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles
  • Flexible work arrangements, Free spirit, and emotional positivity
  • Agile self-determination, trust, transparency, and open collaboration
  • All Support needed for the realization of business goals,
  • Stable employment with a great atmosphere and ethical corporate culture
  • This advertiser has chosen not to accept applicants from your region.

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    15. child_friendly Childcare
    16. foundation Civil Engineering
    17. clean_hands Cleaning & Sanitation
    18. diversity_3 Community & Social Care
    19. construction Construction
    20. brush Creative & Digital
    21. currency_bitcoin Crypto & Blockchain
    22. support_agent Customer Service & Helpdesk
    23. medical_services Dental
    24. medical_services Driving & Transport
    25. medical_services E Commerce & Social Media
    26. school Education & Teaching
    27. electrical_services Electrical Engineering
    28. bolt Energy
    29. local_mall Fmcg
    30. gavel Government & Non Profit
    31. emoji_events Graduate
    32. health_and_safety Healthcare
    33. beach_access Hospitality & Tourism
    34. groups Human Resources
    35. precision_manufacturing Industrial Engineering
    36. security Information Security
    37. handyman Installation & Maintenance
    38. policy Insurance
    39. code IT & Software
    40. gavel Legal
    41. sports_soccer Leisure & Sports
    42. inventory_2 Logistics & Warehousing
    43. supervisor_account Management
    44. supervisor_account Management Consultancy
    45. supervisor_account Manufacturing & Production
    46. campaign Marketing
    47. build Mechanical Engineering
    48. perm_media Media & PR
    49. local_hospital Medical
    50. local_hospital Military & Public Safety
    51. local_hospital Mining
    52. medical_services Nursing
    53. local_gas_station Oil & Gas
    54. biotech Pharmaceutical
    55. checklist_rtl Project Management
    56. shopping_bag Purchasing
    57. home_work Real Estate
    58. person_search Recruitment Consultancy
    59. store Retail
    60. point_of_sale Sales
    61. science Scientific Research & Development
    62. wifi Telecoms
    63. psychology Therapy
    64. pets Veterinary
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