onsite
Software Data Engineer Enterprise Infrastructure - Themis Insight
Data Engineer
Design and implement scalable data pipelines and infrastructure using Python, SQL, and AWS to support enterprise‑wide analytics and reporting solutions.
About the role
Key Responsibilities
- Develop, test, and maintain robust data pipelines that ingest, transform, and load large‑scale datasets from diverse sources.
- Design and implement cloud‑native data storage and processing solutions on AWS, leveraging services such as S3, Redshift, and Lambda.
- Collaborate with data scientists, analysts, and engineering teams to define data models, ensure data quality, and optimize query performance.
- Automate ETL workflows using Python and SQL, incorporating best practices for version control, monitoring, and error handling.
- Participate in architecture reviews and contribute to the evolution of enterprise data infrastructure standards.
Requirements
- 3+ years of experience building data pipelines and ETL processes in a cloud environment.
- Proficiency in Python programming and advanced SQL query development.
- Hands‑on experience with AWS data services (e.g., S3, Redshift, Glue, Lambda).
- Strong understanding of data modeling, schema design, and performance tuning.
- Ability to work cross‑functionally, communicate technical concepts clearly, and deliver solutions in an agile setting.