Senior Lead Data Engineer (Snowflake, DBT, Python)- 8 to 13 Years- Chennai & Bangalore
FIS is seeking a Senior Lead Data Engineer to join their financial services technology team in India. The role involves designing and implementing scalable data pipelines using Snowflake, DBT, Python, and Airflow. The candidate will collaborate with stakeholders to translate data requirements into technical solutions while optimizing existing data architecture. This is a lead-level role requiring significant hands-on experience in cloud data warehousing and ELT processes.
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Experience
8-13 years
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
FIS is seeking a Senior Lead Data Engineer to join their financial services technology team in India. The role involves designing and implementing scalable data pipelines using Snowflake, DBT, Python, and Airflow. The candidate will collaborate with stakeholders to translate data requirements into technical solutions while optimizing existing data architecture. This is a lead-level role requiring significant hands-on experience in cloud data warehousing and ELT processes.
TAL's take
Solid role at a large, established financial technology company with a clear stack and scope for a lead data engineer.
The JD provides a very clear scope, specific technology requirements (Snowflake, DBT, Python), and well-defined responsibilities.
Salaries at FIS
15.5 LPA average
Based on 2 Grapevine salary entries for FIS.
Other roles
2 - 4 years | L1
7 LPA average
Range: 7 - 7 LPA
Other roles
12 - 14 years
24 LPA average
Range: 24 - 24 LPA
Must haves
- Bachelor's degree in computer science or related field
- 3+ years experience as a Data Engineer
- Proficiency in Snowflake data warehousing
- Proficiency in Python scripting
- Proficiency in SQL
- Experience with DBT and Airflow
- Experience with ETL/ELT processes
Tools and skills
Nice to have: aws, azure, google cloud platform, databricks.
About the company
FIS is an established global financial services technology company, though not categorized as a top-tier global or India-specific tech unicorn.