Data Engineer

Job Title: Data Engineer (Data Warehouse Focus)

Domain: BFSI

Experience: 5-8 Years

Location: Remote

Employment Type: Full-Time

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