Snowflake

Join our team of enthusiastic technologists as we build the future of a cloud-based intelligent integration platform

This role is for a skilled Data Integration engineer with strong expertise Snowflake development. You will comprehend complex functional and technical issues and design solutions that align with business needs. You will work on cloud-native AI-driven integration systems, leveraging Snap logic to deliver enterprise-grade solutions.

Essential Skills :

- 4- 7 years of relevant experience in medium or large-scale data integration and data warehouse solutions.

- Hands on experience in Snowflake, Oracle PL/SQL, Control M

- Working experience of AWS services like S3, EC2, Cloud watch, Lambda, Fargate & Terraform and knowledge of other services

- Knowledge and preferably working experience of Snaplogic

- Well versed with Data analysis, Dimensional Modelling, Data Warehousing and SDLC concepts.

- Understanding of Configuration / Release Management processes.

- Hands on experience in Dynamic SQL, creating packages, procedures and functions, proficient in writing queries.

- Good understanding of RDBMS concepts (preferably Oracle, Snowflake)

- Experience in Agile Delivery

Skills Nice to have :

- Experienced in DevOps

- Sound analytical & debugging skills.

- Understanding of the Finance domain, especially Investment management

- Innovative and enthusiastic about technology and using it appropriately to solve problems

Key Responsibilities :

- Design and develop the medium to complex ETL processes

- Code and unit test the independent modules

- Update the ETL mapping sheet and maintain the same

- Understand the requirements and able to think through the technical solution

- Able to work with the other team members

Experience and Qualification :

- B.E./ B.Tech. or M.C.A. in Computer Science from a reputed University

- 4- 7 years of relevant industry experience