Job Details

Job Description:

Responsibilities:

• Collaborates closely with the Project Manager (PM), Architect, and Administrators to develop ETL processes and reports.
• Responsible for ensuring smooth data extraction, transformation, and loading processes as an ETL developer.
• Detail design based on source to target mapping.
• Collaborates with cross-functional teams to understand data requirements and translate them into effective solutions.
• Designs and develops ETL processes to efficiently extract data from various sources and transform it for analytical purposes.
• Designs and implements optimized ELT processes to extract, transform, and load data from various sources efficiently.
• Ensures the reliability, accuracy, and performance of ETL processes and reports through rigorous testing and optimization.
• Maintains documentation for ETL processes, including technical specifications and user guides.
• Provides support and troubleshooting assistance for ETL processes as needed.
• Conducts thorough testing and validation of ELT processes and reports to ensure accuracy and reliability of data analytics.
• Leads code optimization efforts to enhance the performance and scalability of ELT processes and reports.
• Provides mentorship and support to junior developers, assisting them in solving technical challenges and improving their skills.
• Maintains documentation for ELT processes and reports, including technical specifications, design documents, and best practices.
• Excellent problem-solving skills and attention to detail to address complex data challenges and optimize solutions effectively.
• Working experience in healthcare client.

• 8-10 years' experience as Sr. Data Engineer.
• Specializes in ETL (Extract, Transform, Load) using ETL tools Matillion, DataStage etc.
• Experience in Snowflake, Netezza.
• Strong Python and SQL programming.
• Experience with Data warehousing techniques(Star Schema, Snowflaking, Normalization, Denormalization, Aggregations).
• Working experience in Health Care domain.
• Excellent communication skills to collaborate with stakeholders and convey technical concepts effectively.
• bility to work independently and as part of a team in a fast-paced environment.
• Strong problem-solving skills and attention to detail to address complex data challenges effectively.