onsite
Software Data Engineer Enterprise Infrastructure - Power3 Solutions
Data Engineer
Design and implement scalable data pipelines and enterprise‑grade infrastructure using Python, SQL, and AWS services, delivering robust ETL solutions and data models for complex business analytics.
About the role
Key Responsibilities
- Develop, test, and maintain high‑performance data pipelines that ingest, transform, and load large volumes of structured and semi‑structured data.
- Design and implement data models and schemas to support analytics, reporting, and machine‑learning workloads.
- Leverage AWS services (e.g., S3, Redshift, Lambda, Glue) to build resilient, cost‑effective data platforms.
- Collaborate with cross‑functional teams to translate business requirements into technical specifications and ensure data quality and governance.
- Automate monitoring, alerting, and performance tuning of data workflows to meet SLAs.
Requirements
- 3+ years of experience in data engineering, with strong proficiency in Python and SQL.
- Hands‑on experience building ETL pipelines and data warehouses on AWS.
- Solid understanding of data modeling concepts and best practices for large‑scale analytics.
- Familiarity with version control (Git) and CI/CD pipelines for data workloads.
- Excellent problem‑solving skills and ability to work independently in a fast‑paced environment.