Responsibilities
  • Develop and maintain data pipelines implementing ETL processes.
  • Take responsibility for Hadoop development and implementation.
  • Work closely with a data science team implementing data analytic pipelines.
  • Help define data governance policies and support data versioning processes.
  • Maintain security and data privacy working closely with Data Protection Officer internally.
  • Analyse a vast number of data stores and uncover insights.
Skillset Required
  • Ability to design, build and unit test the applications in Pyspark.
  • Experience with Python development and Python data transformations.
  • Experience with SQL scripting on one or more platforms Hive, Oracle, PostgreSQL, MySQL etc.
  • In-depth knowledge of Hadoop, Spark, and similar frameworks.
  • Strong knowledge of Data Management principles.
  • Experience with normalizing/de-normalizing data structures, and developing tabular, dimensional and other data models.
  • Have knowledge about YARN, cluster, executor, cluster configuration.
  • Hands on working in different file formats like Json, parquet, csv etc.
  • Experience with CLI on Linux-based platforms.
  • Experience analysing current ETL/ELT processes, define and design new processes.
  • Experience analysing business requirements in BI/Analytics context and designing data models to transform raw data into meaningful insights.
  • Good to have knowledge on Data Visualization.
  • Experience in processing large amounts of structured and unstructured data, including integrating data from multiple sources.
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