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Senior Data Engineer
4 weeks ago
ResourceTree Global Services is hiring Senior Data Engineer - Cloud Analytics for one of its leading Data Analytics client.
Role: Senior Data Engineer - Cloud Analytics
Experience: 7 Years
Location : Chennai
Primary Skills : SAP Hana,SAP BODS,Azure,ADF,AWS,Glue
Secondary Skills : Tableau,Snowflake
Role Responsibility :
- Translate functional specifications and change requests into technical specifications.
- Translate business requirement documents, functional specifications, and technical specifications into related coding.
- Develop efficient code with unit testing and code documentation.
- Ensure accuracy and integrity of data and applications through analysis, coding, documenting, testing, and problem-solving.
- Set up the development environment and configuration of the development tools.
- Communicate with all project stakeholders on the project status.
- Manage, monitor, and ensure the security and privacy of data to satisfy business needs.
- Contribute to the automation of modules, wherever required.
- Be proficient in written, verbal, and presentation communication (English).
- Coordinate with the UAT team.
- Proficient in basic and advanced SQL programming concepts (Procedures, Analytical functions, etc.).
- Good Knowledge and Understanding of Data warehouse concepts (Dimensional Modeling, change data capture, slowly changing dimensions, etc.).
- Knowledgeable in Shell / PowerShell scripting.
- Knowledgeable in relational databases, non-relational databases, data streams, and file stores.
- Knowledgeable in performance tuning and optimization.
- Experience in Data Profiling and Data validation.
- Experience in requirements gathering and documentation processes and performing unit testing.
- Understanding and Implementing QA and various testing processes in the project.
- Knowledge in any BI tools will be an added advantage.
- Sound aptitude, outstanding logical reasoning, and analytical skills.
- Willingness to learn and take initiatives.
- Ability to adapt to a fast-paced Agile environment.
- Design and implement scalable data architectures on cloud platforms (e.g., AWS, Azure) to support analytics and business intelligence initiatives.
- Define data models, schemas, and structures to optimize data storage, retrieval, and processing for analytical workloads.
- Collaborate with data architects and solution architects to ensure alignment with overall data strategy and architecture principles.
- Develop and maintain data integration pipelines and ETL workflows using tools such as SAP BODS, AWS Glue, Azure Data Factory (ADF), and custom Python scripts.
- Provide technical support to clients for analytics systems, including ETL processes, Tableau dashboards, and cloud-based data platforms.
- Good experience in SQL (SAP HANA), Tableau, AWS S3, Azure ADLS & ADF, Snowflake, and Python.
- Lead the resolution of critical issues and ad-hoc requirements, ensuring timely and effective solutions.
- Gather input and requirements from clients for Change Requests (CR) and projects, ensuring clear communication and understanding of client needs.
- Prioritize and allocate tickets and tasks to team members based on urgency and SLAs, ensuring efficient use of resources and timely resolution of issues.
- Facilitate cross-training for the team on relevant technologies to improve expertise and collaborations.
- Monitor system performance and implement optimizations to enhance efficiency and scalability.
- Flag concerns, risks, or blockers to clients at the right time for CR/Project requirements, ensuring transparency and proactive management.
- AI/ML knowledge is a plus.
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