AZMAST-Data Engineering - SnapLogic, Snowflake , Python and AWS
Number of Openings* |
1 |
Approved ECMS RQ# * |
542217 |
Duration of contract* |
6 Months (may extends) |
Total Yrs. of Experience* |
7 to 10 Yrs. |
Relevant Yrs. of experience* |
7+ yrs. |
Detailed JD *(Roles and Responsibilities) |
• Professional Experience: Minimum 7 years in data engineering • Integration & Data Warehousing: Proficiency in SnapLogic and Snowflake • Design Skills: Strong background in data modeling • Programming: Advanced knowledge of Python and SQL • Data Transformation/Development: Experience with DBT is preferred • AWS Data Engineering: Hands-on expertise with AWS Glue, Amazon Redshift, Amazon S3 (S3 bucket experience is required), Amazon Kinesis, AWS Lambda, and Amazon EMR; deep familiarity with S3 is mandatory, others are a plus • CI/CD & Automation: Ability to independently build CI/CD pipelines using GitHub Actions, Flyway, Apache Airflow, and Ansible |
Mandatory skills* |
SnapLogic and Snowflake |
Desired skills* |
Refer the detailed JD. |
Domain* |
Life Science |
|
Approx. vendor billing rate* Excluding service tax |
10K – 12K INR/day(Rate is flexible for strong profiles) |
Work Location* |
India – Chennai, Bangalore |
|
Background check process to be followed: * Before onboarding / After onboarding: * BGV Agency: * |
After onboarding. Looking for Immediate joiners without career gaps. |
Mode of Interview: Telephonic/Face to Face/Skype Interview* |
Teams (Video Mode), F2F |