Our client provides high-quality, cost-effective research and analytical support for investment banks, private equity funds, corporates and portfolio companies around the globe. It allows clients to shift labor-intensive tasks to a flexible pool of talent, so that their in-house teams can focus on strategic initiatives and increase their capacity to take on more projects.

Roles and Responsibility:
1. Assist with onboarding a large catalog of datasets
2. Acquire, transform, and deploy production-level scalable ETL/data pipelines for optimized utilization
3. Troubleshoot data issues and perform root cause analysis to proactively resolve operational issues
4. Identify and implement process enhancements by automating manual processes to optimize data delivery
5. Monitors all projects, responsible for quality checks

Mandatory Skills:
1. Experience with Python language using PySpark/Spark to perform data frame operations
2. Database experience to write queries on large data sets using SQL
3. Analytical thinker with strong attention to details, good verbal, and written communication skills
4. Experience with creating end to end ETL pipelines