Job Description

Job Description

  • 6-8 years of good hands on exposure with Big Data technologies – pySpark (Data frame and SparkSQL), Hadoop, and Hive
  • Good hands on experience of python and Bash Scripts
  • Good understanding of SQL and data warehouse concepts
  • Strong analytical, problem-solving, data analysis and research skills
  • Demonstrable ability to think outside of the box and not be dependent on readily available tools
  • Excellent communication, presentation and interpersonal skills are a must
  • Hands-on experience with using Cloud Platform provided Big Data technologies (i.e. IAM, Glue, EMR, RedShift, S3, Kinesis)
  • Orchestration with Airflow and Any job scheduler experience
  • Experience in migrating workload from on-premise to cloud and cloud to cloud migrations

Roles & Responsibilities

  • Develop efficient ETL pipelines as per business requirements...

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