onsite
Data Analytics Engineer - freenet
Data Engineer
Lead end‑to‑end analytics pipeline development using Python, SQL, and Spark on AWS, turning raw data into actionable insights for business stakeholders.
About the role
Key Responsibilities
- Design, build, and maintain scalable data pipelines from ingestion to analytics using Python, SQL, and Apache Spark.
- Implement data models and schemas in AWS data services (Redshift, S3, Glue) to support reporting and ML workloads.
- Collaborate with data scientists and product teams to translate business requirements into technical solutions.
- Optimize query performance and ensure data quality through automated testing and monitoring.
- Document architecture, processes, and best practices for internal knowledge sharing.
Requirements
- 3+ years of experience in data engineering or analytics engineering roles.
- Experience with data modeling, ETL design, and performance tuning.
- Excellent problem‑solving skills and ability to communicate complex concepts to non‑technical stakeholders.
Skills
pythonsqlawsapache spark