Description :

Data Engineer (Data Warehouse Focus)

Domain : BFSI

Job Summary :

Seeking a Data Engineer with strong expertise in Snowflake, Python, Airflow, and SQL to design, build, and maintain scalable cloud-based data warehouse solutions for BFSI platforms.

Key Responsibilities :

- Design and develop data warehouse architectures and ETL/ELT pipelines.

- Build and orchestrate workflows using Python, SQL, Airflow, PySpark, Kafka, Databricks.

- Perform data modeling, validation, and governance in regulated BFSI environments.

- Migrate data from legacy systems to AWS/Azure cloud platforms.

- Create analytics and reports using Power BI, Tableau, Alteryx.

- Collaborate with data science teams to productionize ML features.

- Ensure performance, reliability, and operational excellence.

Required Skills :

Core :

- Snowflake, Python, SQL, Airflow

Data & Cloud :

- Oracle/PostgreSQL/MySQL/SQL Server, AWS (S3, EMR), Azure (ADLS, ADF, Databricks)

Big Data :

- Kafka, Databricks

BI & Tools :

- Power BI, Tableau, Alteryx, dbt, Git

Methodology :

- Agile (Scrum/Kanban)

BFSI Experience :

- Strong experience in Banking, Financial Services, or Insurance.

- Knowledge of financial data models, compliance, security, and regulatory reporting.

Education :

- MCA / BSc / BE / BTech in Computer Science or related field.

Nice to Have :

- Exposure to Pandas, NumPy, SciPy

- Snowflake or Cloud certifications