We are seeking a skilled Data Engineer to design, optimize, and support scalable data solutions that enable data-driven decision-making. This role focuses on building reliable data pipelines, troubleshooting production data issues, and improving database performance in an agile, high-impact environment.
Responsibilities
- Diagnose and resolve data issues, production outages, and performance bottlenecks.
- Debug data pipeline failures and investigate unexpected data changes.
- Optimize SQL queries and monitor database health for scalability and efficiency.
- Design and maintain robust, automated data pipelines and workflows.
- Enable secure and efficient data access while ensuring compliance.
- Recommend and adopt best-in-class data engineering tools and practices.
- Collaborate with engineering teams to implement optimal data ingestion and storage strategies.
Requirements
- 4+ years of relevant experience in data engineering
- Strong Python expertise, with hands-on experience using Pandas for large-scale data processing.
- Advanced SQL skills, including performance tuning and query optimization.
- Proven experience building, deploying, and debugging production-grade ETL/ELT pipelines.
- Experience with at least one major cloud platform (AWS, GCP, or Azure) and data warehousing solutions.
- Strong analytical and problem-solving skills in ambiguous data environments.
