Data Engineer
Full-time
Lewis Personnel Management
We are looking for an experienced and results-driven Data Engineer to join our dynamic data engineering team. In this role, you will design, build, and optimize high-performance ETL pipelines, manage scalable data warehousing solutions, and support business intelligence and advanced analytics across enterprise systems.
If you thrive in an Enterprise Agile framework and have strong expertise in cloud databases, data modeling, and modern AWS data services, we want to hear from you!
Key ResponsibilitiesETL & Data Pipelines: Design, build, and orchestrate end-to-end ETL/ELT pipelines using AWS Glue .
Data Warehousing & Architecture: Manage enterprise data warehousing, design data marts, and execute data migrations across Snowflake, PostgreSQL, and MS SQL .
Cloud & Infrastructure: Provision and optimize cloud database instances and containerized workloads using AWS RDS and AWS Fargate .
Development: Write production-grade code and backend scripts in Python or Java .
BI & Analytics Support: Build optimized BI datasets supporting Qlik and advanced analytics reporting.
Data Governance: Drive data quality, system uptime, and database performance tuning.
Agile Delivery: Collaborate within Scrum, Kanban, or SAFe frameworks.
Experience: 3 to 6 years of hands-on data engineering experience.
Programming: Advanced Python or Java .
ETL Tools: Hands-on experience with AWS Glue and ETL workflows.
Data Warehousing: Expertise in Snowflake , data modeling, and migration strategies.
Databases: Strong proficiency in PostgreSQL and MS SQL .
Cloud Stack: Deep knowledge of the AWS ecosystem ( AWS RDS, AWS Fargate ).
BI & Analytics: Proven background building data models/datasets for Qlik .
Methodology: Practical experience in Enterprise Agile ( Scrum/Kanban/SAFe ).
Vacancy posted 15 hours ago
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