Role OverviewJoin a lean, high-impact team responsible for developing scalable data pipelines, improving data quality, and supporting critical financial initiatives. This is a 6-month onsite contract with the possibility of extension based on performance and business needs.
What You Will Do
Design, build, and maintain robust PySpark-based data pipelines to ensure accurate and timely financial data processing. Write, optimize, and troubleshoot complex SQL queries to extract, transform, and validate large-scale financial datasets.
Why It Might Be a Fit
You'll collaborate closely with finance and engineering stakeholders to translate business requirements into reliable data infrastructure solutions. You'll own end-to-end data quality by identifying, investigating, and resolving pipeline issues efficiently.
Requirements
- 2–4 years of professional experience as a Data Engineer
- Strong hands-on experience with PySpark and distributed data processing frameworks
- Advanced SQL skills with experience writing efficient, production-grade queries
- Experience building, maintaining, and optimizing large-scale ETL/data pipelines
- Ability to work independently while collaborating effectively across cross-functional teams
- Bachelor's degree in Computer Science or a related technical discipline
- Excellent written and verbal communication skills
- Willingness to work onsite full-time
Benefits
- Weekly payments via Stripe or Wise based on services rendered
]]>