Description

Key Skills: Data Warehouse, Data Engineer, SQL, Data modeling, Spark

Roles and Responsibilities:

  • Define and develop core components of the data platform.
  • Collaborate with partners to create SaaS offerings.
  • Design and deploy innovative data solutions.
  • Translate customer needs into architecture designs.
  • Apply strong testing and quality assurance practices.
  • Evaluate emerging technologies for potential integration.
  • Provide technical guidance and manage customer expectations.
  • Ensure familiarity with database design and optimization.

Skills Required:

Must-Have:

  • Strong expertise in Data Architecture and Data Warehousing
  • Hands-on experience as a Data Engineer
  • Proficiency in SQL and NoSQL databases
  • Deep understanding of Data Modeling techniques
  • Experience in designing scalable data solutions

Nice-to-Have:

  • Familiarity with Apache Spark for big data processing
  • Knowledge of Data Lake architectures
  • Understanding of SaaS platform integration
  • Experience with emerging data technologies and tools
  • Strong grasp of database design, optimization, and QA practices

Education:B.E., B.Tech, M.Tech, M.E. in Computer Science, Engineering, or a related field

Key Skills
Education

Any Graduate

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