Description

Job Description

  • Hands on with Spark (dataframe), Spark SQL, Databricks, AWS Glue, Scala/Spark or PySpark, Kafka or another streaming technology. Good learning & cross skilling ability.
  • Design & Architecture of big data systems. Experience in ETL, Data Governance, Data Quality, Good understanding of data operations. AWS or Azure cloud.
  • Should have experience with solutioning & consulting (MUST HAVE).

 

Roles & Responsibilities

  • Design/develop big data pipelines using Spark (batch/streaming) and other related technology stacks.
  • MUST HAVE experience in solutioning big data systems and consultancy as SME on big data technologies

Key Skills
Education

Any Graduate

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