Data Engineer

Job Duties:

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  • Build data-intensive solutions on AWS/GCP/Azure to help customers transition to cloud
  • Collaborate with data scientists to design and deploy solutions on cloud
  • Design data layout using object storage (S3/Cloud Storage) or databases to enable spark and other processes to access data efficiently
  • Keep abreast with latest technologies and apply them to solve big data problems
  • Familiarity with containers and their orchestration to manage workloads
  • Learn and contribute towards knowledge sharing sessions
  • Automate solutions and improve overall productivity and reducing the cost footprint of resources.
  • Identify and solve performance and scalability issues
  • Understand business problems and propose technical solutions
  • Work with a global development team to develop production solutions

Skills:

  • Sound understanding of cloud platforms and its service offerings (at least one of AWS/GCP/Azure)
  • Strong programming background in either Python and SQL
  • Strong understanding of data engineering, data warehousing concepts
  • Knowledge of object storage like S3 and designing data layouts for efficient data access
  • Familiarity with Spark and big data technologies like Hive, BQ,EMR, DataProc , Dataflow will be given extra consideration.
  • Experience with container technology (Docker) is a plus.
  • Prior experience with data visualization technologies like SAS VA, Tableau is a plus
  • Education: Master’s Degree in Computer Science or Equivalent

Travel

  • Travel up to 25% is required

Job Features

Job CategoryData Engineer

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