Senior Data Engineer

1 month ago

Chennai, India ResourceTree Global Services Full time

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.
Role Requirement :
  • 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.
Additional Requirement :
  • 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.

(ref:hirist.tech)

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