With a startup spirit and 115,000+ curious and courageous minds, Genpact have the expertise to go deep with the world’s biggest brands—and we have fun doing it. We dream in digital, dare in reality, and reinvent the ways companies work to make an impact far bigger than just our bottom line.

Genpact seeking a skilled Data Integration ETL Developer with a strong background in implementing data integration solutions.

Job Designation : Data Integration ETL Developer

Qualification : Bachelor’s / Master’s Degree

Experience : Freshers

Skill Set :

1. knowledge of HVR data replication tool a must
2. knowledge of Data bricks and experience with a couple of ETL tools
3.  experience working on cloud based Data Integration solution
4.  Good communication skills. Should be able to talk and manage customer requirements.
5. Willing to work from office.
6. Provide technical leadership and guidance to the ETL development team.
7. Oversee the design and implementation of ETL processes to meet business requirements.
8. Architect and design scalable and efficient ETL systems.
9. Conduct code reviews to ensure the quality, efficiency, and adherence to coding standards.
10.  Implement and enforce best practices in ETL development.
11. Collaborate with data architects, developers, and business analysts to understand data requirements and transformations.
12. Ensure adherence to best practices in data integration and ETL development.
13. Lead the development and maintenance of ETL processes, ensuring data integrity and accuracy.
14. Collaborate with cross-functional teams to understand data requirements and design optimal solutions.

Job Description:

1. Utilize Informatica Intelligent Cloud Services (IICS) for the design, development, testing, and deployment of ETL processes.
2. Implement efficient data integration workflows to move, transform, and load data into Snowflake on Azure.
3. Ensure the performance, reliability, and scalability of ETL processes.
4. Write and optimize SQL queries for data extraction, transformation, and loading.
5. Collaborate with the data modeling team to ensure the efficiency of database structures and queries.
6. Configure and optimize Snowflake tables and structures for effective data storage and retrieval.
7. Collaborate with cross-functional teams to understand data integration requirements and business needs.

Location : Mumbai, India