Big Data PySpark Tech Lead
Big Data PySpark Tech Lead
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1 Vacancy
Job Description
- 10 Years Overall Experience in Data Management Data Lake and Data Warehouse.
- 6 Years Hadoop Hive Sqoop SQL Teradata.
- 6 Years PySpark(Python and Spark) Unix.
- Good to have Industry leading ETL experience.
- Banking Domain experience.
- Ability to design build and unit test applications on Spark framework on Python.
- Build PySpark based applications for both batch and streaming requirements which will require indepth knowledge on majority of Hadoop and NoSQL 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 SparkSQL Data Frame and Pair RDDs.
- 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 realtime 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 columnlevel 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 BitBucket 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 datadriven scenarios and triage towards defects and production issues.
- Ability to learnunlearnrelearn concepts with an open and analytical mindset.
- Participate in code release and production deployment.
- Challenge and inspire team members to achieve business results in a fast paced and quickly changing environment.
Employment Type
Full Time
