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Freelance Data Engineer - GCP (Data Pipeline Development)

Roles & Responsibilities

  • Experience with big data technologies such as Hadoop and Spark to process and analyze large datasets.
  • Experience designing, building, and deploying ETL data pipelines to move data into data warehouses or data lakes.
  • Experience integrating data from multiple internal and external sources.

Requirements:

  • Design, construct, and deploy efficient data pipelines to extract, transform, and load (ETL) data from diverse sources into data warehouses or data lakes.
  • Integrate data from various internal and external sources.
  • Utilize big data technologies such as Hadoop and Spark to process and analyze large datasets.

Job description

Job description

Data Pipeline Development: Design, construct,deploy efficient data pipelines to extract, transform,load (ETL) data from diverse sources into data warehouses or data lakes.
Data Integration: Integrate data from various internal/External sources

Required Candidate profile

Big Data Technologies: Utilize technologies such as Hadoop, Spark, or other big data frameworks to process and analyze large datasets.

  • Role : Data Engineer
  • Department: Data Science & Analytics
  • Industry Type: IT Services & Consulting



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