
Senior Data Engineer
2 days ago
A data engineering professional with expertise in Python and SQL is required to design, build, and optimize large-scale data pipelines.
The ideal candidate will collaborate with internal teams and clients to ensure robust, scalable, and high-performance data solutions.
Key Responsibilities:- Design, develop, and maintain ETL/ELT pipelines using PySpark and AWS services.
- Perform data profiling, validation, and transformation using Python, SQL, and Linux/Bash scripting.
- Optimize and monitor workflows for performance, scalability, and cost efficiency.
- Collaborate with analytics teams to surface trustworthy KPIs and metrics.
- Troubleshoot and resolve data inconsistencies, configuration issues, and pipeline errors.
The following qualifications are essential for the role:
- 5+ years of experience in data engineering with a strong background in Python, SQL, and Linux/Bash.
- Proven expertise in PySpark, AWS services, Databricks, and Agile practices.
- Familiarity with ETL/ELT pipelines and large-scale integrations.
- Strong problem-solving and communication skills, with experience in client-facing roles.
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