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About the role:
We are seeking an experienced Data Engineer to design, build, and optimize scalable data pipelines and analytics-ready data models using Snowflake, dbt, Astronomer/Airflow, and Python. This role requires solid engineering discipline, hands-on experience with modern data platforms, and the ability to deliver reliable, governed, and high-performing data solutions that enable business reporting, analytics, and decision-making.
What you will be doing
· Design, develop, and maintain scalable batch and/or near-real-time data pipelines using Snowflake, Python, dbt, and Astronomer/Airflow.
· Build robust ELT workflows, reusable data transformation models, and automated data quality checks using dbt.
· Develop and optimize Snowflake data models, warehouses, schemas,
tables, views, and stored procedures to support analytics and reporting workloads.
· Orchestrate, schedule, monitor, and troubleshoot data workflows using Astronomer/Airflow, including DAG design, dependency management, retries, and operational alerts.
· Write efficient Python scripts and SQL for data ingestion, transformation, validation, automation, and performance tuning.
· Implement data engineering best practices including modular code, version control, CI/CD readiness, documentation, testing, and peer reviews.
· Collaborate with analysts, product teams, business stakeholders, architects, and platform teams to understand requirements and deliver trusted data products.
· Ensure high standards for data quality, observability, governance, security, lineage, and operational reliability across data pipelines.
What you bring:
· Strong hands-on experience in data engineering, ETL/ELT dev
📌 Software Engineer Senior(Snowflake, DBT) (Pune)
🏢 FIS
📍 Pune