Software Engineer Senior(Snowflake, DBT)
FIS (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 20–35 LPA
Posted on 28 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and optimize scalable batch or near-real-time data pipelines and analytics-ready data models using Snowflake, dbt, Astronomer/Airflow, and Python.
- Develop, orchestrate, monitor, and troubleshoot workflows including ELT transformations, data quality checks, and performance tuning to enable reliable business reporting and analytics.
- Collaborate cross-functionally to deliver governed, secure, high-performing data solutions adhering to best practices in modular code, version control, CI/CD, testing, and documentation.
Minimum Requirements
- Strong hands-on experience with Snowflake for data modeling, query optimization, warehouse management, and secure access.
- Proficiency in Python and SQL for ingestion, transformation, automation, validation, and troubleshooting.
- Experience with dbt for modular data transformations and Astronomer/Airflow for DAG development, scheduling, monitoring, retries and alerts.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced data engineer with deep expertise in cloud data platforms, especially Snowflake and modern ELT toolchains like dbt.
- Skilled in workflow orchestration and production support with Astronomer/Airflow to ensure operational reliability of data pipelines.
- Strong operational rigor in implementing engineering best practices including governance, observability, security, and collaboration with cross-functional teams.