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Job Description
- Responsible for developing and maintaining applications with PySpark
- Contribute to the overall design and architecture of the application developed and deployed.
- Performance Tuning wrt to executor sizing and other environmental parameters, code optimization, partitions tuning, etc.
- Interact with business users to understand requirements and troubleshoot issues.
- Implement Projects based on functional specifications.
- Good experience in Pyspark - Including Dataframe core functions and Spark SQL
- Good experience in SQL DBs - Be able to write queries including fair complexity.
- Should have excellent experience in Big Data programming for data transformation and aggregations
- Good at ETL architecture. Business rules processing and data extraction from Data Lake into data streams for business consumption.
- Good customer communication.
- Good Analytical skills
Skills:- PySpark, SQL, Python, Spark, Microsoft Windows Azure, Hadoop, Big Data and Datawarehousing
Skills
Data ExtractionEtlPythonSqlTransformationIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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