Lead AWS Data Engineer (Snowflake)
Why This Role Stands Out
This hybrid Lead AWS Data Engineer role offers significant opportunities to drive enterprise data modernization within the financial services sector, leveraging cutting-edge technologies like Snowflake and AWS. You'll thrive here if you have a strong background in data pipeline architecture, team leadership, and a passion for innovation, making this an excellent next step for your career. Apply today to join a dynamic team and make a real impact.
Quick Overview
Job Description
Job Title: Lead AWS Data Engineer (Snowflake)
Location: Jersey City, NJ (Hybrid)
Experience: 13+ Years
Job Summary
Seeking a Lead AWS Data Engineer with strong experience in AWS, Snowflake, PySpark, and Python to design and build scalable cloud-based data pipelines and support enterprise data modernization initiatives. The ideal candidate should have experience leading teams, working with stakeholders, and delivering data engineering solutions in the Insurance or Financial Services domain.
Required Skills
- Snowflake (Data Modeling & Performance Tuning)
- AWS (S3, Glue, Lambda, EMR, Redshift, Step Functions, CloudWatch)
- PySpark / Apache Spark
- Python
- Advanced SQL
- ETL/ELT & Data Warehousing
- Cloud Migration & Modernization
- dbt, Airflow, or AWS Glue (Preferred)
- Insurance/Financial Services experience (Preferred)
Skills
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