onsite
Data Engineer - Steampunk
Data Engineer
Seasoned Data Engineer skilled in Python, SQL, and ETL who designs and migrates high‑performance data platforms on AWS, ensuring reliability and scalability while collaborating closely with clients and stakeholders.
About the role
Key Responsibilities
- Lead the architecture and migration of enterprise data environments, ensuring performance, reliability, and scalability.
- Design, develop, and maintain robust ETL pipelines and data workflows using Python and SQL.
- Collaborate with business users to assess and optimize BI tools, reports, and data products.
- Provide technical guidance on data integration, customization, and enterprise architecture.
- Monitor and troubleshoot data platform issues, implementing best practices for data quality and security.
Requirements
- Proven experience as a Data Engineer with a strong background in Python, SQL, and ETL processes.
- Hands‑on expertise with data warehousing concepts and AWS services (Redshift, S3, Glue).
- Excellent communication skills and a customer‑focused mindset.
- Strong problem‑solving abilities and a passion for building scalable data solutions.