Pyspark data engineer

11 hours ago

Delhi, India ITI Data Full time
Location : India
Type : Full-time
Experience : 10 – 13 years
Functions : Consulting, Finance, Information Technology, Big Data Engineering
Industries : Capital Markets, Investment Banking, Alternative Investments, Financial Services, Management Consulting, Information Technology and Services, Healthcare
Job Description
We are looking for a Py Spark solutions developer and data engineer that is able to design and build solutions for one of our Fortune 500 Client programs, which aims towards building a data standardized and curation needs on Hadoop cluster. This is high visibility, fast-paced key initiative will integrate data across internal and external sources, provide analytical insights, and integrate with the customer’s critical systems.
Key Responsibilities
Ability to design, build and unit test applications on Spark framework on Python .
Build Py Spark based applications for both batch and streaming requirements, which will require in-depth knowledge on majority of Hadoop and No SQL databases as well.
Develop and execute data pipeline testing processes and validate business rules and policies
Optimize performance of the built Spark applications in Hadoop using configurations around Spark Context, Spark-SQL, Data Frame, and Pair RDD's .
Experience in skilled in Hadoop, Kafka, Scala, Spark.
Optimize performance for data access requirements by choosing the appropriate native Hadoop file formats ( Avro, Parquet, ORC etc ) and compression codec respectively.
Ability to design & build real-time applications using Apache Kafka & Spark Streaming Build integrated solutions leveraging Unix shell scripting, RDBMS, Hive, HDFS File System, HDFS File Types, HDFS compression codec. Build data tokenization libraries and integrate with Hive & Spark for column-level obfuscation Experience in processing large amounts of structured and unstructured data, including integrating data from multiple sources. Create and maintain integration and regression testing framework on Jenkins integrated with Bit Bucket and/or GIT repositories
Participate in the agile development process, and document and communicate issues and bugs relative to data standards in scrum meetings
Work collaboratively with onsite and offshore team. Develop & review technical documentation for artifacts delivered. Ability to solve complex data-driven scenarios and triage towards defects and production issues Ability to learn-unlearn-relearn concepts with an open and analytical mindset Participate in code release and production deployment

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