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Senior PySpark Data Engineer
1 month ago
Data Ingestion Pipelines
We're seeking a highly skilled Senior PySpark Data Engineer to design and implement robust metadata-driven data ingestion pipelines using PySpark.
Responsibilities:
- Collaborate with technical teams to develop innovative data solutions.
- Work closely with business stakeholders to understand and translate requirements into technical specifications.
- Conduct unit testing, system testing, and support during UAT.
- Demonstrate strong analytical and problem-solving skills, as well as a commitment to excellence in software development.
Requirements
- 4-6 years of experience in IT, with a minimum of 3 years of hands-on experience in Python and PySpark.
- Solid understanding of data warehousing concepts and ETL processes.
- Experience with code versioning tools like Git, AWS CodeCommit, and CI/CD pipelines (e.g., AWS CodePipeline).
- Proven ability to build metadata-driven frameworks for data ingestion.
Benefits
- Opportunities for professional growth and development.
- Be part of a dynamic and collaborative team.
About DataEconomy
DataEconomy is a dynamic team driving data-driven solutions. We're seeking a skilled Big Data Developer with PySpark Expertise to join our team in Hyderabad or Pune.
