Senior Data Engineer
2 days ago
We are seeking an experienced Freelance Data Engineer to design, build, and optimize large-scale data pipelines using Python, SQL, Linux/Bash, PySpark, AWS, and Databricks.
Key Responsibilities:- Design, develop, and maintain 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.
- Ensure thorough documentation and knowledge sharing across stakeholders.
- 5+ years of data engineering experience with a strong background in Python and SQL.
- Proven expertise in PySpark, AWS services, and Databricks.
- Proficiency in Linux/Bash scripting for automation and data operations.
- Hands-on experience with ETL/ELT pipelines and large-scale integrations.
- Familiarity with Agile and CI/CD practices.
- Strong problem-solving and communication skills, with experience in client-facing roles.
This is an exciting opportunity for a skilled data engineer to work on complex projects and collaborate with various teams. The ideal candidate will have a strong background in data engineering, excellent problem-solving skills, and the ability to communicate effectively.
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