121 Data Modelling Jobs - Page 3

Knowledge of advance excel & programs like Power BI with DAX, SQL, Tableau, KNIME Python, AIML & data modelling/ETL, Data preparation & derive insights Background of business, finance & merchandise planning, Presentation skills Aptitude for descriptive analysis.

Experience in GCP, Big Data, Scripting - Python, Java, Ruby Data modelling DevOpsExp.- 12+ Years

7+ years of Azure Data Engineering experience with proficiency in SQL and at least one programming language (e.g., Python) for data manipulation and scripting: Strong experience with PySpark, ADF, Databricks, Data Lake, and SQL Preferable experience with MS Fabric. Proficiency in data warehousing concepts and methodologies and implementation. Strong knowledge of Azure Synapse and Azure Databricks. Hands-on experience with data warehouse platforms and ETL tools (e.g Apache Spark). Deep understanding of data modelling principles, data integration techniques, and data governance best practices. Preferrable experience with Power BI, domain knowledge of Finance, Procurement, Human Capital. Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote.

We are hiring a Senior Data Engineer for a 6-month remote contract position. The ideal candidate is highly skilled in building scalable data pipelines and working within the Azure cloud ecosystem, especially Databricks, ADF, and PySpark. You'll work closely with cross-functional teams to deliver enterprise-level data engineering solutions. #KeyResponsibilities Build scalable ETL pipelines and implement robust data solutions in Azure. Manage and orchestrate workflows using ADF, Databricks, ADLS Gen2, and Key Vaults. Design and maintain secure and efficient data lake architecture. Work with stakeholders to gather data requirements and translate them into technical specs. Implement CI/CD pipelines for seamless data deployment using Azure DevOps. Monitor data quality, performance bottlenecks, and scalability issues. Write clean, organized, reusable PySpark code in an Agile environment. Document pipelines, architectures, and best practices for reuse. #MustHaveSkills Experience: 6+ years in Data Engineering Tech Stack: SQL, Python, PySpark, Spark, Azure Databricks, ADF, ADLS Gen2, Azure DevOps, Key Vaults Core Expertise: Data Warehousing, ETL, Data Pipelines, Data Modelling, Data Governance Agile, SDLC, Containerization (Docker), Clean coding practices #GoodToHaveSkills Event Hubs, Logic Apps Power BI Strong logic building and competitive programming background #ContractDetails Role: Senior Data Engineer Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, India Duration: 6 Months Email to Apply: navaneeta@suzva.com Contact: 9032956160

Understanding of Spark core concepts like RDD s, DataFrames, DataSets, SparkSQL and Spark Streaming. Experience with Spark optimization techniques. Deep knowledge of Delta Lake features like time travel, schema evolution, data partitioning. Ability to design and implement data pipelines using Spark and Delta Lake as the data storage layer. Proficiency in Python / Scala/Java for Spark development and integrate with ETL process. Knowledge of data ingestion techniques from various sources (flat files, CSV, API, database) Understanding of data quality best practices and data validation techniques. Other Skills: Understanding of data warehouse concepts, data modelling techniques. Expertise in Git for code management. Familiarity with CI/CD pipelines and containerization technologies. Nice to have experience using data integration tools like DataStage/Prophecy/ Informatica/Ab Initio.

DBA with a strong focus on Primary Skills: Oracle Database, Postgres, Database design Secondary Skills: Data modelling, Performance Tuning, ETL processes, Automating Backup and Purging Processes Skill Justification Database Designing, Data Modelling, and Core Component Implementation: These are fundamental skills for a DBA. Database designing involves creating the structure of the database, data modelling is about defining how data is stored, accessed, and related, and core component implementation ensures that the database is set up correctly and efficiently. Data Integration and Relational Data Modelling: Data integration is crucial for combining data from different sources into a unified view, which is essential for accurate reporting and analysis. Relational data modelling helps in organizing data into tables and defining relationships, which is a core aspect of managing relational databases. Optimization and Performance Tuning: Optimization and performance tuning are critical for ensuring that the database runs efficiently. This involves analyzing and improving query performance, indexing strategies, and resource allocation to prevent bottlenecks and ensure smooth operation. Automating Backup and Purging Processes: Automating backup and purging processes is vital for data integrity and storage management. Regular backups protect against data loss, while purging old or unnecessary data helps maintain database performance and manage storage costs.

Data Engineering Team As a Lead Data Engineer for India, you will be accountable for leading the technical aspects of product engineering by being hands on, working on the enhancement, maintenance and support of the product on which your team is working, within your technology area. You will be responsible for your own hands-on coding, provide the design thinking and design solutions, ensuring the quality of your teams output, representing your team in product-level technical forums and ensuring your team provides technical input to and aligns with the overall product road-map. How will you make an impact? You will work with Engineers in other technology areas to define the overall technical direction for the product on alignment with Groups technology roadmap, standards and frameworks, with product owners and business stakeholders to shape the product's delivery roadmap and with support teams to ensure its smooth operation. You will be accountable for the overall technical quality of the work produced by India that is in line with the expectation of the stakeholders, clients and Group. You will also be responsible for line management of your team of Engineers, ensuring that they perform to the expected levels and that their career development is fully supported. Key responsibilities o Produce Quality Code o Code follows team standards, is structured to ensure readability and maintainability and goes through review smoothly, even for complex changes o Designs respect best practices and are favourably reviewed by peers o Critical paths through code are covered by appropriate tests o High-level designs / architectures align to wider technical strategy, presenting reusable APIs where possible and minimizing system dependencies o Data updates are monitored and complete within SLA o Technical designs follow team and group standards and frameworks, is structured to ensure reusability, extensibility and maintainability and goes through review smoothly, even for complex changes o Designs respect best practices and are favourably reviewed by peers o High-level designs / architectures align to wider technical strategy, presenting reusable APIs where possible and minimizing system dependencies o Estimates are consistently challenging, but realistic o Most tasks are delivered within estimate o Complex or larger tasks are delivered autonomously o Sprint goals are consistently achieved o Demonstrate commitment to continuous improvement of squad activities o The product backlog is consistently well-groomed, with a responsible balance of new features and technical debt mitigation o Other Engineers in the Squad feel supported in their development o Direct reports have meaningful objectives recorded in Quantium's Performance Portal, and understand how those objectives relate to business strategy o Direct reports' career aspirations are understood / documented, with action plans in place to move towards those goals o Direct reports have regular catch-ups to discuss performance, career development and their ongoing happiness / engagement in their role o Any performance issues are identified, documented and agreed, with realistic remedial plans in place o Squad Collaboration o People Management o Produce Quality Technical Design o Operate at high level of productivity Key activities Build technical product/application engineering capability in the team by that is in line with the Groups technical roadmap, standards and frameworks Write polished code, aligned to team standards, including appropriate unit / integration tests Review code and test cases produced by others, to ensure changes satisfy the associated business requirement, follow best practices, and integrate with the existing code-base Provide constructive feedback to other team members on quality of code and test cases Collaborate with other Lead / Senior Engineers to produce high-level designs for larger pieces of work Validate technical designs and estimates produced by other team members Merge reviewed code into release branches, resolving any conflicts that arise, and periodically deploy updates to production and non-production environments Troubleshoot production problems and raise / prioritize bug tickets to resolve any issues Proactively monitor system health and act to report / resolve any issues Provide out of hours support for periodic ETL processes, ensuring SLAs are met Work with business stakeholders and other leads to define and estimate new epics Contribute to backlog refinement sessions, helping to break down each epic into a collection of smaller user stories that will deliver the overall feature Work closely with Product Owners to ensure the product backlog is prioritized to maximize business value and manage technical debt Lead work breakdown sessions to define the technical tasks required to implement each user story Contribute to sprint planning sessions, ensuring the team takes a realistic but challenging amount of work into each sprint and each team member will be productively occupied Contribute to the teams daily stand-up, highlighting any delays or impediments to progress and proposing mitigation for those issues Contribute to sprint review and sprint retro sessions, to maintain a culture of continuous improvement within the team Coach / mentor more junior Engineers to support their continuing development Set and periodically review delivery and development objectives for direct reports Identify each direct reports longer-term career objectives and, as far as possible, factor this into work assignments Hold fortnightly catch-ups with direct reports to review progress against objectives, assess engagement and give them the opportunity to raise concerns about the product or team Work through the annual performance review process for all team members Conduct technical interviews as necessary to recruit new Engineers The superpowers youll be bringing to the team: 8+ years of experience in design, develop, and implement end-to-end data solutions (storage, integration, processing, access) in Google Cloud Platform (GCP) or similar cloud platforms. 2. Strong experience with SQL 3. Values delivering high-quality, peer-reviewed, well-tested code 4. Create ETL/ELT pipelines that transform and process terabytes of structured and unstructured data in real-time 5. Knowledge of DevOps functions and to contribute to CI / CD pipelines 6. Strong knowledge of data warehousing and data modelling and techniques like dimensional modelling etc 7. Strong hands-on experience with BigQuery/Snowflake, Airflow/Argo, Dataflow, Data catalog, VertexAI, Pub/Sub etc or equivalent products in other cloud platforms 8. Solid grip over programming languages like Python or Scala 9. Hands on experience in manipulating SPARK at scale with true in-depth knowledge of SPARK API 10. Experience working with stakeholders and mentoring experience for juniors in the team is good to have 11. Recognized as a go-to person for high-level designs and estimations 12. Experience working with source control tools (GIT preferred) with good understanding of branching / merging strategies 13. Experience in Kubernetes and Azure will be an advantage 14. Understanding of GNU/Linux systems and Bash/scripting 15. Bachelors degree in Computer Science, Information Technology or a related discipline 16. Comfortable working in a fast moving, agile development environment 17. Excellent problem solving / analytical skills 18. Good written / verbal communication skills 19. Commercially aware, with the ability to work with a diverse range of stakeholders 20. Enthusiasm for coaching and mentoring junior engineers 21. Experience in lading teams, including line management responsibilities What could your Quantium Experience look like? Working at Quantium will allow you to challenge your imagination. You will get to solve complex problems using rigor, precision and by asking great questions but it also means you can think big, outside the box and push your problem-solving skills to the max. By joining the Quantium team, youll get to: Forge your path: So many of our team have moved around different teams or offices. Youll be in the drivers seat, and we empower you to make your career your own. Find your kind: Embrace diversity and connect with your tribe (think foodies, dog lovers, readers, or runners). Make an impact: Leave your mark. Your contributions resonate, regardless of your role or rank. On top of the Quantium Experience, you will enjoy a range of great benefits that go beyond the ordinary. Some of these include: Flexible work arrangements : Achieve work life balance at your own pace with hybrid and flexible work arrangements. Continuous learning : Our vision is empowering analytics talent to thrive. The Analytics Community fosters the development of individuals, thought leadership and technical excellence at Quantium through building strong connections, fostering collaboration, and co-creation of best practice. Remote working : Embrace the opportunity to work outside of your assigned home location for up to 2 months every year.

Type: Contract-to-Hire (C2H) Job Summary We are looking for a skilled PySpark Developer with MUST 4+ YEARS hands-on experience in building scalable data pipelines and processing large datasets. The ideal candidate will have deep expertise in Apache Spark, Python, and working with modern data engineering tools in cloud environments such as AWS. Key Skills & Responsibilities Strong expertise in PySpark and Apache Spark for batch and real-time data processing. Experience in designing and implementing ETL pipelines, including data ingestion, transformation, and validation. Proficiency in Python for scripting, automation, and building reusable components. Hands-on experience with scheduling tools like Airflow or Control-M to orchestrate workflows. Familiarity with AWS ecosystem, especially S3 and related file system operations. Strong understanding of Unix/Linux environments and Shell scripting. Experience with Hadoop, Hive, and platforms like Cloudera or Hortonworks. Ability to handle CDC (Change Data Capture) operations on large datasets. Experience in performance tuning, optimizing Spark jobs, and troubleshooting. Strong knowledge of data modeling, data validation, and writing unit test cases. Exposure to real-time and batch integration with downstream/upstream systems. Working knowledge of Jupyter Notebook, Zeppelin, or PyCharm for development and debugging. Understanding of Agile methodologies, with experience in CI/CD tools (e.g., Jenkins, Git). Preferred Skills Experience in building or integrating APIs for data provisioning. Exposure to ETL or reporting tools such as Informatica, Tableau, Jasper, or QlikView. Familiarity with AI/ML model development using PySpark in cloud environments.

Lead Development: Design, develop, and maintain .NET applications using C# and .NET Core/.NET Framework, with a focus on scalability and performance.

Role Purpose The purpose of the role is to liaison and bridging the gap between customer and Wipro delivery team to comprehend and analyze customer requirements and articulating aptly to delivery teams thereby, ensuring right solutioning to the customer. Do 1. Customer requirements gathering and engagement Interface and coordinate with client engagement partners to understand the RFP/ RFI requirements Detail out scope documents, functional & non-functional requirements, features etc ensuring all stated and unstated customer needs are captured Construct workflow charts and diagrams, studying system capabilities, writing specification after thorough research and analysis of customer requirements Engage and interact with internal team - project managers, pre-sales team, tech leads, architects to design and formulate accurate and timely response to RFP/RFIs Understand and communicate the financial and operational impact of any changes Periodic cadence with customers to seek clarifications and feedback wrt solution proposed for a particular RFP/ RFI and accordingly instructing delivery team to make changes in the design Empower the customers through demonstration and presentation of the proposed solution/ prototype Maintain relationships with customers to optimize business integration and lead generation Ensure ongoing reviews and feedback from customers to improve and deliver better value (services/ products) to the customers 2. Engage with delivery team to ensure right solution is proposed to the customer a. Periodic cadence with delivery team to: Provide them with customer feedback/ inputs on the proposed solution Review the test cases to check 100% coverage of customer requirements Conduct root cause analysis to understand the proposed solution/ demo/ prototype before sharing it with the customer Deploy and facilitate new change requests to cater to customer needs and requirements Support QA team with periodic testing to ensure solutions meet the needs of businesses by giving timely inputs/feedback Conduct Integration Testing and User Acceptance demos testing to validate implemented solutions and ensure 100% success rate Use data modelling practices to analyze the findings and design, develop improvements and changes Ensure 100% utilization by studying systems capabilities and understanding business specifications Stitch the entire response/ solution proposed to the RFP/ RFI before its presented to the customer b. Support Project Manager/ Delivery Team in delivering the solution to the customer Define and plan project milestones, phases and different elements involved in the project along with the principal consultant Drive and challenge the presumptions of delivery teams on how will they successfully execute their plans Ensure Customer Satisfaction through quality deliverable on time 3. Build domain expertise and contribute to knowledge repository Engage and interact with other BAs to share expertise and increase domain knowledge across the vertical Write whitepapers/ research papers, point of views and share with the consulting community at large Identify and create used cases for a different project/ account that can be brought at Wipro level for business enhancements Conduct market research for content and development to provide latest inputs into the projects thereby ensuring customer delight Deliver No. Performance Parameter Measure 1. Customer Engagement and Delivery Management PCSAT, utilization % achievement, no. of leads generated from the business interaction, no. of errors/ gaps in documenting customer requirements, feedback from project manager, process flow diagrams (quality and timeliness), % of deal solutioning completed within timeline, velocity generated. 2. Knowledge Management No. of whitepapers/ research papers written, no. of user stories created, % of proposal documentation completed and uploaded into knowledge repository, No of reusable components developed for proposal during quarter Mandatory Skills: HC - Payor. Experience: 3-5 Years.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions Dos 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Deilver No.Performance ParameterMeasure1.Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy Mandatory Skills: Informatica Data Analyst. Experience: 8-10 Years.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Deliver NoPerformance ParameterMeasure1.Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy Mandatory Skills: Database Architecting. Experience: 5-8 Years.

Role Purpose The purpose of the role is to liaison and bridging the gap between customer and Wipro delivery team to comprehend and analyze customer requirements and articulating aptly to delivery teams thereby, ensuring right solutioning to the customer. Do 1. Customer requirements gathering and engagement Interface and coordinate with client engagement partners to understand the RFP/ RFI requirements Detail out scope documents, functional & non-functional requirements, features etc ensuring all stated and unstated customer needs are captured Construct workflow charts and diagrams, studying system capabilities, writing specification after thorough research and analysis of customer requirements Engage and interact with internal team - project managers, pre-sales team, tech leads, architects to design and formulate accurate and timely response to RFP/RFIs Understand and communicate the financial and operational impact of any changes Periodic cadence with customers to seek clarifications and feedback wrt solution proposed for a particular RFP/ RFI and accordingly instructing delivery team to make changes in the design Empower the customers through demonstration and presentation of the proposed solution/ prototype Maintain relationships with customers to optimize business integration and lead generation Ensure ongoing reviews and feedback from customers to improve and deliver better value (services/ products) to the customers 2. Engage with delivery team to ensure right solution is proposed to the customer a. Periodic cadence with delivery team to: Provide them with customer feedback/ inputs on the proposed solution Review the test cases to check 100% coverage of customer requirements Conduct root cause analysis to understand the proposed solution/ demo/ prototype before sharing it with the customer Deploy and facilitate new change requests to cater to customer needs and requirements Support QA team with periodic testing to ensure solutions meet the needs of businesses by giving timely inputs/feedback Conduct Integration Testing and User Acceptance demos testing to validate implemented solutions and ensure 100% success rate Use data modelling practices to analyze the findings and design, develop improvements and changes Ensure 100% utilization by studying systems capabilities and understanding business specifications Stitch the entire response/ solution proposed to the RFP/ RFI before its presented to the customer b. Support Project Manager/ Delivery Team in delivering the solution to the customer Define and plan project milestones, phases and different elements involved in the project along with the principal consultant Drive and challenge the presumptions of delivery teams on how will they successfully execute their plans Ensure Customer Satisfaction through quality deliverable on time 3. Build domain expertise and contribute to knowledge repository Engage and interact with other BAs to share expertise and increase domain knowledge across the vertical Write whitepapers/ research papers, point of views and share with the consulting community at large Identify and create used cases for a different project/ account that can be brought at Wipro level for business enhancements Conduct market research for content and development to provide latest inputs into the projects thereby ensuring customer delight Deliver No. Performance Parameter Measure 1. Customer Engagement and Delivery Management PCSAT, utilization % achievement, no. of leads generated from the business interaction, no. of errors/ gaps in documenting customer requirements, feedback from project manager, process flow diagrams (quality and timeliness), % of deal solutioning completed within timeline, velocity generated. 2. Knowledge Management No. of whitepapers/ research papers written, no. of user stories created, % of proposal documentation completed and uploaded into knowledge repository, No of reusable components developed for proposal during quarter Mandatory Skills: eCommerce Consulting. Experience: 3-5 Years.

Key Responsibilities Architect and implement modular, test-driven ELT pipelines using dbt on Snowflake. Design layered data models (e.g., staging, intermediate, mart layers / medallion architecture) aligned with dbt best practices. Lead ingestion of structured and semi-structured data from APIs, flat files, cloud storage (Azure Data Lake, AWS S3), and databases into Snowflake. Optimize Snowflake for performance and cost: warehouse sizing, clustering, materializations, query profiling, and credit monitoring. Apply advanced dbt capabilities including macros, packages, custom tests, sources, exposures, and documentation using dbt docs. Orchestrate workflows using dbt Cloud, Airflow, or Azure Data Factory, integrated with CI/CD pipelines. Define and enforce data governance and compliance practices using Snowflake RBAC, secure data sharing, and encryption strategies. Collaborate with analysts, data scientists, architects, and business stakeholders to deliver validated, business-ready data assets. Mentor junior engineers, lead architectural/code reviews, and help establish reusable frameworks and standards. Engage with clients to gather requirements, present solutions, and manage end-to-end project delivery in a consulting setup Required Qualifications 5 to 8 years of experience in data engineering roles, with 3+ years of hands-on experience working with Snowflake and dbt in production environments. Technical Skills: o Cloud Data Warehouse & Transformation Stack: Expert-level knowledge of SQL and Snowflake, including performance optimization, storage layers, query profiling, clustering, and cost management. Experience in dbt development: modular model design, macros, tests, documentation, and version control using Git. o Orchestration and Integration: Proficiency in orchestrating workflows using dbt Cloud, Airflow, or Azure Data Factory. Comfortable working with data ingestion from cloud storage (e.g., Azure Data Lake, AWS S3) and APIs. Data Modelling and Architecture: Dimensional modelling (Star/Snowflake schemas), Slowly changing dimensions. ' Knowledge of modern data warehousing principles. Experience implementing Medallion Architecture (Bronze/Silver/Gold layers). Experience working with Parquet, JSON, CSV, or other data formats. o Programming Languages: Python: For data transformation, notebook development, automation. SQL: Strong grasp of SQL for querying and performance tuning. Jinja (nice to have): Exposure to Jinja for advanced dbt development. o Data Engineering & Analytical Skills: ETL/ELT pipeline design and optimization. Exposure to AI/ML data pipelines, feature stores, or MLflow for model tracking (good to have). Exposure to data quality and validation frameworks. o Security & Governance: Experience implementing data quality checks using dbt tests. Data encryption, secure key management and security best practices for Snowflake and dbt. Soft Skills & Leadership: Ability to thrive in client-facing roles with competing/changing priorities and fast-paced delivery cycles. Stakeholder Communication: Collaborate with business stakeholders to understand objectives and convert them into actionable data engineering designs. Project Ownership: End-to-end delivery including design, implementation, and monitoring. Mentorship: Guide junior engineers and establish best practices; Build new skill in the team. Agile Practices: Work in sprints, participate in scrum ceremonies, story estimation. Education: Bachelors or masters degree in computer science, Data Engineering, or a related field. Certifications such as Snowflake SnowPro Advanced, dbt Certified Developer are a plus.

Role Purpose The purpose of the role is to liaison and bridging the gap between customer and Wipro delivery team to comprehend and analyze customer requirements and articulating aptly to delivery teams thereby, ensuring right solutioning to the customer. Do 1. Customer requirements gathering and engagement Interface and coordinate with client engagement partners to understand the RFP/ RFI requirements Detail out scope documents, functional & non-functional requirements, features etc ensuring all stated and unstated customer needs are captured Construct workflow charts and diagrams, studying system capabilities, writing specification after thorough research and analysis of customer requirements Engage and interact with internal team - project managers, pre-sales team, tech leads, architects to design and formulate accurate and timely response to RFP/RFIs Understand and communicate the financial and operational impact of any changes Periodic cadence with customers to seek clarifications and feedback wrt solution proposed for a particular RFP/ RFI and accordingly instructing delivery team to make changes in the design Empower the customers through demonstration and presentation of the proposed solution/ prototype Maintain relationships with customers to optimize business integration and lead generation Ensure ongoing reviews and feedback from customers to improve and deliver better value (services/ products) to the customers 2. Engage with delivery team to ensure right solution is proposed to the customer a. Periodic cadence with delivery team to: Provide them with customer feedback/ inputs on the proposed solution Review the test cases to check 100% coverage of customer requirements Conduct root cause analysis to understand the proposed solution/ demo/ prototype before sharing it with the customer Deploy and facilitate new change requests to cater to customer needs and requirements Support QA team with periodic testing to ensure solutions meet the needs of businesses by giving timely inputs/feedback Conduct Integration Testing and User Acceptance demos testing to validate implemented solutions and ensure 100% success rate Use data modelling practices to analyze the findings and design, develop improvements and changes Ensure 100% utilization by studying systems capabilities and understanding business specifications Stitch the entire response/ solution proposed to the RFP/ RFI before its presented to the customer b. Support Project Manager/ Delivery Team in delivering the solution to the customer Define and plan project milestones, phases and different elements involved in the project along with the principal consultant Drive and challenge the presumptions of delivery teams on how will they successfully execute their plans Ensure Customer Satisfaction through quality deliverable on time 3. Build domain expertise and contribute to knowledge repository Engage and interact with other BAs to share expertise and increase domain knowledge across the vertical Write whitepapers/ research papers, point of views and share with the consulting community at large Identify and create used cases for a different project/ account that can be brought at Wipro level for business enhancements Conduct market research for content and development to provide latest inputs into the projects thereby ensuring customer delight Deliver No. Performance Parameter Measure 1. Customer Engagement and Delivery Management PCSAT, utilization % achievement, no. of leads generated from the business interaction, no. of errors/ gaps in documenting customer requirements, feedback from project manager, process flow diagrams (quality and timeliness), % of deal solutioning completed within timeline, velocity generated. 2. Knowledge Management No. of whitepapers/ research papers written, no. of user stories created, % of proposal documentation completed and uploaded into knowledge repository, No of reusable components developed for proposal during quarter Mandatory Skills: Salesforce Administration.

Role Purpose The purpose of the role is to liaison and bridging the gap between customer and Wipro delivery team to comprehend and analyze customer requirements and articulating aptly to delivery teams thereby, ensuring right solutioning to the customer. Do 1. Customer requirements gathering and engagement Interface and coordinate with client engagement partners to understand the RFP/ RFI requirements Detail out scope documents, functional & non-functional requirements, features etc ensuring all stated and unstated customer needs are captured Construct workflow charts and diagrams, studying system capabilities, writing specification after thorough research and analysis of customer requirements Engage and interact with internal team - project managers, pre-sales team, tech leads, architects to design and formulate accurate and timely response to RFP/RFIs Understand and communicate the financial and operational impact of any changes Periodic cadence with customers to seek clarifications and feedback wrt solution proposed for a particular RFP/ RFI and accordingly instructing delivery team to make changes in the design Empower the customers through demonstration and presentation of the proposed solution/ prototype Maintain relationships with customers to optimize business integration and lead generation Ensure ongoing reviews and feedback from customers to improve and deliver better value (services/ products) to the customers 2. Engage with delivery team to ensure right solution is proposed to the customer a. Periodic cadence with delivery team to: Provide them with customer feedback/ inputs on the proposed solution Review the test cases to check 100% coverage of customer requirements Conduct root cause analysis to understand the proposed solution/ demo/ prototype before sharing it with the customer Deploy and facilitate new change requests to cater to customer needs and requirements Support QA team with periodic testing to ensure solutions meet the needs of businesses by giving timely inputs/feedback Conduct Integration Testing and User Acceptance demos testing to validate implemented solutions and ensure 100% success rate Use data modelling practices to analyze the findings and design, develop improvements and changes Ensure 100% utilization by studying systems capabilities and understanding business specifications Stitch the entire response/ solution proposed to the RFP/ RFI before its presented to the customer b. Support Project Manager/ Delivery Team in delivering the solution to the customer Define and plan project milestones, phases and different elements involved in the project along with the principal consultant Drive and challenge the presumptions of delivery teams on how will they successfully execute their plans Ensure Customer Satisfaction through quality deliverable on time 3. Build domain expertise and contribute to knowledge repository Engage and interact with other BAs to share expertise and increase domain knowledge across the vertical Write whitepapers/ research papers, point of views and share with the consulting community at large Identify and create used cases for a different project/ account that can be brought at Wipro level for business enhancements Conduct market research for content and development to provide latest inputs into the projects thereby ensuring customer delight Deliver No. Performance Parameter Measure 1. Customer Engagement and Delivery Management PCSAT, utilization % achievement, no. of leads generated from the business interaction, no. of errors/ gaps in documenting customer requirements, feedback from project manager, process flow diagrams (quality and timeliness), % of deal solutioning completed within timeline, velocity generated. 2. Knowledge Management No. of whitepapers/ research papers written, no. of user stories created, % of proposal documentation completed and uploaded into knowledge repository, No of reusable components developed for proposal during quarter Mandatory Skills: SAP Financial Accounting & Controlling. Experience: 8-10 Years.

Role Purpose The purpose of the role is to liaison and bridging the gap between customer and Wipro delivery team to comprehend and analyze customer requirements and articulating aptly to delivery teams thereby, ensuring right solutioning to the customer. Do 1. Customer requirements gathering and engagement Interface and coordinate with client engagement partners to understand the RFP/ RFI requirements Detail out scope documents, functional & non-functional requirements, features etc ensuring all stated and unstated customer needs are captured Construct workflow charts and diagrams, studying system capabilities, writing specification after thorough research and analysis of customer requirements Engage and interact with internal team - project managers, pre-sales team, tech leads, architects to design and formulate accurate and timely response to RFP/RFIs Understand and communicate the financial and operational impact of any changes Periodic cadence with customers to seek clarifications and feedback wrt solution proposed for a particular RFP/ RFI and accordingly instructing delivery team to make changes in the design Empower the customers through demonstration and presentation of the proposed solution/ prototype Maintain relationships with customers to optimize business integration and lead generation Ensure ongoing reviews and feedback from customers to improve and deliver better value (services/ products) to the customers 2. Engage with delivery team to ensure right solution is proposed to the customer a. Periodic cadence with delivery team to: Provide them with customer feedback/ inputs on the proposed solution Review the test cases to check 100% coverage of customer requirements Conduct root cause analysis to understand the proposed solution/ demo/ prototype before sharing it with the customer Deploy and facilitate new change requests to cater to customer needs and requirements Support QA team with periodic testing to ensure solutions meet the needs of businesses by giving timely inputs/feedback Conduct Integration Testing and User Acceptance demo??s testing to validate implemented solutions and ensure 100% success rate Use data modelling practices to analyze the findings and design, develop improvements and changes Ensure 100% utilization by studying systems capabilities and understanding business specifications Stitch the entire response/ solution proposed to the RFP/ RFI before its presented to the customer b. Support Project Manager/ Delivery Team in delivering the solution to the customer Define and plan project milestones, phases and different elements involved in the project along with the principal consultant Drive and challenge the presumptions of delivery teams on how will they successfully execute their plans Ensure Customer Satisfaction through quality deliverable on time 3. Build domain expertise and contribute to knowledge repository Engage and interact with other BA??s to share expertise and increase domain knowledge across the vertical Write whitepapers/ research papers, point of views and share with the consulting community at large Identify and create used cases for a different project/ account that can be brought at Wipro level for business enhancements Conduct market research for content and development to provide latest inputs into the projects thereby ensuring customer delight Deliver No. Performance Parameter Measure 1. Customer Engagement and Delivery Management PCSAT, utilization % achievement, no. of leads generated from the business interaction, no. of errors/ gaps in documenting customer requirements, feedback from project manager, process flow diagrams (quality and timeliness), % of deal solutioning completed within timeline, velocity generated. 2. Knowledge Management No. of whitepapers/ research papers written, no. of user stories created, % of proposal documentation completed and uploaded into knowledge repository, No of reusable components developed for proposal during quarter Mandatory Skills: SAP Financial Accounting & Controlling.

Role Purpose The purpose of the role is to liaison and bridging the gap between customer and Wipro delivery team to comprehend and analyze customer requirements and articulating aptly to delivery teams thereby, ensuring right solutioning to the customer. Do 1. Customer requirements gathering and engagement Interface and coordinate with client engagement partners to understand the RFP/ RFI requirements Detail out scope documents, functional & non-functional requirements, features etc ensuring all stated and unstated customer needs are captured Construct workflow charts and diagrams, studying system capabilities, writing specification after thorough research and analysis of customer requirements Engage and interact with internal team - project managers, pre-sales team, tech leads, architects to design and formulate accurate and timely response to RFP/RFIs Understand and communicate the financial and operational impact of any changes Periodic cadence with customers to seek clarifications and feedback wrt solution proposed for a particular RFP/ RFI and accordingly instructing delivery team to make changes in the design Empower the customers through demonstration and presentation of the proposed solution/ prototype Maintain relationships with customers to optimize business integration and lead generation Ensure ongoing reviews and feedback from customers to improve and deliver better value (services/ products) to the customers 2. Engage with delivery team to ensure right solution is proposed to the customer a. Periodic cadence with delivery team to: Provide them with customer feedback/ inputs on the proposed solution Review the test cases to check 100% coverage of customer requirements Conduct root cause analysis to understand the proposed solution/ demo/ prototype before sharing it with the customer Deploy and facilitate new change requests to cater to customer needs and requirements Support QA team with periodic testing to ensure solutions meet the needs of businesses by giving timely inputs/feedback Conduct Integration Testing and User Acceptance demo??s testing to validate implemented solutions and ensure 100% success rate Use data modelling practices to analyze the findings and design, develop improvements and changes Ensure 100% utilization by studying systems capabilities and understanding business specifications Stitch the entire response/ solution proposed to the RFP/ RFI before its presented to the customer b. Support Project Manager/ Delivery Team in delivering the solution to the customer Define and plan project milestones, phases and different elements involved in the project along with the principal consultant Drive and challenge the presumptions of delivery teams on how will they successfully execute their plans Ensure Customer Satisfaction through quality deliverable on time 3. Build domain expertise and contribute to knowledge repository Engage and interact with other BA??s to share expertise and increase domain knowledge across the vertical Write whitepapers/ research papers, point of views and share with the consulting community at large Identify and create used cases for a different project/ account that can be brought at Wipro level for business enhancements Conduct market research for content and development to provide latest inputs into the projects thereby ensuring customer delight Deliver/No Performance/Parameter/Measure 1. Customer Engagement and Delivery Management PCSAT, utilization % achievement, no. of leads generated from the business interaction, no. of errors/ gaps in documenting customer requirements, feedback from project manager, process flow diagrams (quality and timeliness), % of deal solutioning completed within timeline, velocity generated. 2. Knowledge Management No. of whitepapers/ research papers written, no. of user stories created, % of proposal documentation completed and uploaded into knowledge repository, No of reusable components developed for proposal during quarter Mandatory Skills: HC - Payor.

Role Purpose The purpose of the role is to liaison and bridging the gap between customer and Wipro delivery team to comprehend and analyze customer requirements and articulating aptly to delivery teams thereby, ensuring right solutioning to the customer. Do 1. Customer requirements gathering and engagement Interface and coordinate with client engagement partners to understand the RFP/ RFI requirements Detail out scope documents, functional & non-functional requirements, features etc ensuring all stated and unstated customer needs are captured Construct workflow charts and diagrams, studying system capabilities, writing specification after thorough research and analysis of customer requirements Engage and interact with internal team - project managers, pre-sales team, tech leads, architects to design and formulate accurate and timely response to RFP/RFIs Understand and communicate the financial and operational impact of any changes Periodic cadence with customers to seek clarifications and feedback wrt solution proposed for a particular RFP/ RFI and accordingly instructing delivery team to make changes in the design Empower the customers through demonstration and presentation of the proposed solution/ prototype Maintain relationships with customers to optimize business integration and lead generation Ensure ongoing reviews and feedback from customers to improve and deliver better value (services/ products) to the customers 2. Engage with delivery team to ensure right solution is proposed to the customer a. Periodic cadence with delivery team to: Provide them with customer feedback/ inputs on the proposed solution Review the test cases to check 100% coverage of customer requirements Conduct root cause analysis to understand the proposed solution/ demo/ prototype before sharing it with the customer Deploy and facilitate new change requests to cater to customer needs and requirements Support QA team with periodic testing to ensure solutions meet the needs of businesses by giving timely inputs/feedback Conduct Integration Testing and User Acceptance demo??s testing to validate implemented solutions and ensure 100% success rate Use data modelling practices to analyze the findings and design, develop improvements and changes Ensure 100% utilization by studying systems capabilities and understanding business specifications Stitch the entire response/ solution proposed to the RFP/ RFI before its presented to the customer b. Support Project Manager/ Delivery Team in delivering the solution to the customer Define and plan project milestones, phases and different elements involved in the project along with the principal consultant Drive and challenge the presumptions of delivery teams on how will they successfully execute their plans Ensure Customer Satisfaction through quality deliverable on time 3. Build domain expertise and contribute to knowledge repository Engage and interact with other BA??s to share expertise and increase domain knowledge across the vertical Write whitepapers/ research papers, point of views and share with the consulting community at large Identify and create used cases for a different project/ account that can be brought at Wipro level for business enhancements Conduct market research for content and development to provide latest inputs into the projects thereby ensuring customer delight Deliver No. Performance Parameter Measure 1. Customer Engagement and Delivery Management PCSAT, utilization % achievement, no. of leads generated from the business interaction, no. of errors/ gaps in documenting customer requirements, feedback from project manager, process flow diagrams (quality and timeliness), % of deal solutioning completed within timeline, velocity generated. 2. Knowledge Management No. of whitepapers/ research papers written, no. of user stories created, % of proposal documentation completed and uploaded into knowledge repository, No of reusable components developed for proposal during quarter

We are looking for an experienced and results-driven Data Engineer to join our growing Data Engineering team. The ideal candidate will be proficient in building scalable, high-performance data transformation pipelines using Snowflake and dbt and be able to effectively work in a consulting setup. In this role, you will be instrumental in ingesting, transforming, and delivering high-quality data to enable data-driven decision-making across the clients organization. Key Responsibilities 1. Design and implement scalable ELT pipelines using dbt on Snowflake, following industry accepted best practices. 2. Build ingestion pipelines from various sources including relational databases, APIs, cloud storage and flat files into Snowflake. 3. Implement data modelling and transformation logic to support layered architecture (e.g., staging, intermediate, and mart layers or medallion architecture) to enable reliable and reusable data assets.. 4. Leverage orchestration tools (e.g., Airflow,dbt Cloud, or Azure Data Factory) to schedule and monitor data workflows. 5. Apply dbt best practices: modular SQL development, testing, documentation, and version control. 6. Perform performance optimizations in dbt/Snowflake through clustering, query profiling, materialization, partitioning, and efficient SQL design. 7. Apply CI/CD and Git-based workflows for version-controlled deployments. 8. Contribute to growing internal knowledge base of dbt macros, conventions, and testing frameworks. 9. Collaborate with multiple stakeholders such as data analysts, data scientists, and data architects to understand requirements and deliver clean, validated datasets. 10. Write well-documented, maintainable code using Git for version control and CI/CD processes. 11. Participate in Agile ceremonies including sprint planning, stand-ups, and retrospectives. 12. Support consulting engagements through clear documentation, demos, and delivery of client-ready solutions. Required Qualifications 3 to 5 years of experience in data engineering roles, with 2+ years of hands-on experience in Snowflake and DBT. Experience building and deploying DBT models in a production environment. Expert-level SQL and strong understanding of ELT principles. Strong understanding of ELT patterns and data modelling (Kimball/Dimensional preferred). Familiarity with data quality and validation techniques: dbt tests, dbt docs etc. Experience with Git, CI/CD, and deployment workflows in a team setting Familiarity with orchestrating workflows using tools like dbt Cloud, Airflow, or Azure Data Factory. Core Competencies: o Data Engineering and ELT Development: Building robust and modular data pipelines using dbt. Writing efficient SQL for data transformation and performance tuning in Snowflake. Managing environments, sources, and deployment pipelines in dbt. o Cloud Data Platform Expertise: Strong proficiency with Snowflake: warehouse sizing, query profiling, data loading, and performance optimization. Experience working with cloud storage (Azure Data Lake, AWS S3, or GCS) for ingestion and external stages. Technical Toolset: o Languages & Frameworks: Python: For data transformation, notebook development, automation. SQL: Strong grasp of SQL for querying and performance tuning. Best Practices and Standards: o Knowledge of modern data architecture concepts including layered architecture (e.g., staging, intermediate, marts, Medallion architecture). Familiarity with data quality, unit testing (dbt tests), and documentation (dbt docs). Security & Governance: o Access and Permissions: Understanding of access control within Snowflake (RBAC), role hierarchies, and secure data handling. Familiar with data privacy policies (GDPR basics), encryption at rest/in transit. Deployment & Monitoring: o DevOps and Automation: Version control using Git, experience with CI/CD practices in a data context. Monitoring and logging of pipeline executions, alerting on failures. Soft Skills: o Communication & Collaboration: Ability to present solutions and handle client demos/discussions. Work closely with onshore and offshore team of analysts, data scientists, and architects. Ability to document pipelines and transformations clearly. Basic Agile/Scrum familiarity working in sprints and logging tasks. Comfort with ambiguity, competing priorities and fast-changing client environment. Education: o Bachelors or masters degree in computer science, Data Engineering, or a related field. o Certifications such as Snowflake SnowPro, dbt Certified Developer Data Engineering are a plus.

Role & responsibilities JD Bachelors Degree preferred, or equivalent combination of education, training, and experience. 5+ years of professional experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.) 3+ years of professional experience with Enterprise Domains Like HR, Finance, Supply Chain 6+ years of professional experience with more than one SQL and relational databases including expertise in Presto, Spark, and MySQL Professional experience designing and implementing real-time pipelines (Apache Kafka, or similar technologies) 5+ years of professional experience in custom ETL design, implementation, and maintenance 3+ years of professional experience with Data Modeling including expertise in Data Warehouse design and Dimensional Modeling 5+ years of professional experience working with cloud or on-premises Big Data/MPP analytics platform (Teradata, AWS Redshift, Google BigQuery, Azure Synapse Analytics, or similar) Experience with data quality and validation (using Apache Airflow) Experience with anomaly/outlier detection Experience with Data Science workflow (Jupyter Notebooks, Bento, or similar tools) Experience with Airflow or similar workflow management systems Experience querying massive datasets using Spark, Presto, Hive, or similar Experience building systems integrations, tooling interfaces, implementing integrations for ERP systems (Oracle, SAP, Salesforce, etc.) Experience in data visualizations using Power BI and Tableau. Proficiency in Python programming language and Python libraries, with a focus on data engineering and data science applications. Professional fluency in English required Preferred candidate profile

Data Analyst / Analytics Engineer - Client Analytics and Strategy Team, AVP The Client and Sales Analytics Specialist develops and manages the end-to-end process of delivering the analytics around revenue, pipeline, KPIs etc to stakeholders, bringing transparency to the Corporate Bank Leadership teams as well as the Coverage and Sales organisations on our top client relationships. The role requires a holistic understanding of internal and external client data, along with the ability to distill and communicate a contextualized narrative with actionable insights to a wide audience. As part of the Client Analytics squad and in collaboration with all stakeholders, the role will support the build out, training and provide ongoing support to colleagues across the Corporate Bank. Your key responsibilities Production, enhancement, maintenance of Global MI related to the Corporate Bank, Data quality controls, enabling translation / transformation of data to stitch together disparate data sources and drive data clean-up Consolidate different datasets to fabricate essential client insights Drive effort of integrating analytics into strategic platforms and other relevant forums Support the business by building and deploying value-added MI and Dashboards Support audit and regulatory requests by provided data after validation and aggregation Support Management teams with investigations, deep dives and adhoc analysis Your skills and experience Experience in Analytical tools such as Tableau and SQL 7+ years of experience in data visualization (preferably Tableau) Design and build Tableau dashboards Be hands-on and very familiar with complex SQL Understand data modelling and data warehouse designs Data modeling: from raw data, to building report and eventually deployment of dashboards Be able to do required changes on database level (design and build new tables, views etc.) Strong MI background with high data interpretation skills Work with users to understand business requirements and design solutions Strong interpersonal skills, communication, stakeholder management & teamwork Ability to work independently and under tight deadlines Relevant experience in the banking sector

We are looking for an experienced MIS Executive to manage and analyze business data for informed decision-making in the FMCG sector. The ideal candidate should have expertise in Power BI, Power Query, SQL, and Advanced Excel, ensuring efficient reporting, data visualization, and automation of processes. Key Responsibilities:- 1. Data Management & Analysis: Collect, clean, and analyze large datasets from various sources. Manage and optimize SQL databases for data storage and retrieval. Use Power Query for data transformation and automation. 2. Reporting & Dashboard Development 3. Business Intelligence & Insights 4. Automation & Process Improvement 5. Collaboration & Communication Ky Skills Excellent knowledge of computer software using Advance Excel, and Power BI, Power Query, Power Pivot, Data Modelling & SQL. Perks and benefits Salary as per Industry standard.

GenAI Exposure, Data Modelling, Database Development, Data Warehouse Management, Data Strategy Development, End to end Data Architecture, Virtualization and Consumption layer expertise Skill & Experience Bachelors degree in Computer Science, Data Analytics or similar field. Highly analytical mindset, with an ability to see both the big picture and the details Experience in building Virtualization & Consumption Layer. Ideas how to divide costing based on consumption. Exposure to Gen-Ai is added advantage. Strong organizational and troubleshooting skills Strong problem-solving and analytical skills. Excellent communication and interpersonal skills. Proven track record of successful project management. Develop and Implement Data Strategy Identify and Manage Data Sources Coordinate with Cross-Functional Teams Manage End-to-End Data Architecture Develop Virtualization & Consumption Layers Ensure Data Quality and Governance Ensure Data Security and Compliance Exposure to Gen-AI (Preferred)

We are looking for an experienced and results-driven Data Engineer to join our growing Data Engineering team. The ideal candidate will be proficient in building scalable, high-performance data transformation pipelines using Snowflake and dbt and be able to effectively work in a consulting setup. In this role, you will be instrumental in ingesting, transforming, and delivering high-quality data to enable data-driven decision-making across the clients organization. Key Responsibilities 1. Design and implement scalable ELT pipelines using dbt on Snowflake, following industry accepted best practices. 2. Build ingestion pipelines from various sources including relational databases, APIs, cloud storage and flat files into Snowflake. 3. Implement data modelling and transformation logic to support layered architecture (e.g., staging, intermediate, and mart layers or medallion architecture) to enable reliable and reusable data assets.. 4. Leverage orchestration tools (e.g., Airflow,dbt Cloud, or Azure Data Factory) to schedule and monitor data workflows. 5. Apply dbt best practices: modular SQL development, testing, documentation, and version control. 6. Perform performance optimizations in dbt/Snowflake through clustering, query profiling, materialization, partitioning, and efficient SQL design. 7. Apply CI/CD and Git-based workflows for version-controlled deployments. 8. Contribute to growing internal knowledge base of dbt macros, conventions, and testing frameworks. 9. Collaborate with multiple stakeholders such as data analysts, data scientists, and data architects to understand requirements and deliver clean, validated datasets. 10. Write well-documented, maintainable code using Git for version control and CI/CD processes. 11. Participate in Agile ceremonies including sprint planning, stand-ups, and retrospectives. 12. Support consulting engagements through clear documentation, demos, and delivery of client-ready solutions. Required Qualifications 3 to 5 years of experience in data engineering roles, with 2+ years of hands-on experience in Snowflake and DBT. Experience building and deploying DBT models in a production environment. Expert-level SQL and strong understanding of ELT principles. Strong understanding of ELT patterns and data modelling (Kimball/Dimensional preferred). Familiarity with data quality and validation techniques: dbt tests, dbt docs etc. Experience with Git, CI/CD, and deployment workflows in a team setting Familiarity with orchestrating workflows using tools like dbt Cloud, Airflow, or Azure Data Factory. Core Competencies: o Data Engineering and ELT Development: Building robust and modular data pipelines using dbt. Writing efficient SQL for data transformation and performance tuning in Snowflake. Managing environments, sources, and deployment pipelines in dbt. o Cloud Data Platform Expertise: Strong proficiency with Snowflake: warehouse sizing, query profiling, data loading, and performance optimization. Experience working with cloud storage (Azure Data Lake, AWS S3, or GCS) for ingestion and external stages. ' Technical Toolset: o Languages & Frameworks: Python: For data transformation, notebook development, automation. SQL: Strong grasp of SQL for querying and performance tuning. Best Practices and Standards: o Knowledge of modern data architecture concepts including layered architecture (e.g., staging ? intermediate ? marts, Medallion architecture). Familiarity with data quality, unit testing (dbt tests), and documentation (dbt docs). Security & Governance: o Access and Permissions: Understanding of access control within Snowflake (RBAC), role hierarchies, and secure data handling. Familiar with data privacy policies (GDPR basics), encryption at rest/in transit. Deployment & Monitoring: o DevOps and Automation: Version control using Git, experience with CI/CD practices in a data context. Monitoring and logging of pipeline executions, alerting on failures. Soft Skills: o Communication & Collaboration: Ability to present solutions and handle client demos/discussions. Work closely with onshore and offshore team of analysts, data scientists, and architects. Ability to document pipelines and transformations clearly. Basic Agile/Scrum familiarity working in sprints and logging tasks. Comfort with ambiguity, competing priorities and fast-changing client environment. Education: o Bachelors or masters degree in computer science, Data Engineering, or a related field. o Certifications such as Snowflake SnowPro, dbt Certified Developer Data Engineering are a plus.