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Freelance Data Engineering Professional
3 weeks ago
We are seeking a skilled Freelance Data Engineer to join our team.
The ideal candidate will have expertise in designing, building, and optimizing large-scale data pipelines using Python, SQL, PySpark, AWS, and Databricks.
- Key Responsibilities:
- Design and develop ETL/ELT pipelines using PySpark, AWS, and Databricks.
- Perform data profiling, validation, and transformation using Python and SQL.
- Optimize and monitor workflows for performance, scalability, and cost efficiency.
- Build automation scripts using Linux and Bash for data pipeline orchestration.
- Collaborate with analytics teams to surface trustworthy KPIs and metrics.
- Troubleshoot and resolve data inconsistencies, configuration issues, and pipeline errors.
- Work closely with cross-functional teams (analysts, product managers, engineers) to define and implement data requirements.
Requirements:
- 5+ years of experience in data engineering with a strong background in Python and SQL.
- Proficiency in PySpark, AWS services, and Databricks.
- Hands-on experience in ETL/ELT pipelines and large-scale integrations.
About the Role:
This is an excellent opportunity for a Freelance Data Engineer to take on challenging projects, work with a talented team, and contribute to the success of our organization.
We offer a competitive rate of pay and the flexibility to work independently while still being part of a collaborative team.
