Software Engineer Senior(Snowflake, DBT)
Fidelity National Information Services (FIS) (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 14–22 LPA
Posted on 28 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable batch and/or near-real-time data pipelines using Snowflake, Python, dbt, and Astronomer/Airflow.
- Build and optimize ELT workflows, data transformation models, and Snowflake data models to support analytics and reporting workloads.
- Orchestrate, schedule, monitor, and troubleshoot data workflows with a focus on data quality, governance, security, and operational reliability.
Minimum Requirements
- Hands-on experience with data engineering, ETL/ELT development, data warehousing, and pipeline orchestration.
- Proficiency in Python and SQL for data ingestion, transformation, automation, validation, and troubleshooting.
- Experience with Snowflake data modeling, query optimization, warehouse management, and secure access patterns.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in building and optimizing modular data transformations using dbt with testing and deployment workflows.
- Skilled in DAG design, workflow scheduling, retries, alerting, and production support using Astronomer/Airflow.
- Capable of collaborating across product, business, analytics, architecture, and platform teams to deliver trusted data products.