Description

Responsibilities:

  • Translate data models into efficient and optimized database objects in accordance with established governance and naming conventions.
  • Develop and implement data transformation and loading process to populate and maintain data within the created tables and views.
  •  Collaborate with data architects and tech leads to understand data requirements and translate them into logical data model.
  • Document table/view definitions into Alation and enable data quality checks for required tables/views.
  • Optimize database performance by identifying and implementing improvements to queries, indexing, and table structures.

Required Skills and Qualifications:

  • Strong proficiency in SQL and experience with relational database management systems (RDBMS) such as Oracle or Snowflake
  • Experience with data warehousing concepts and technologies.
  • Experience with Python for Data Processing.
  • Familiarity with ETL/ELT tools and techniques.
  • Experience in developing data applications in Cloud (AWS)
  • Experience with Business Intelligence like Tableau and Dashboards is a plus
  • Experience with DevOps, Continuous Integration and Continuous Delivery (Jenkins, GitHub)
  • Understanding of data governance principles and best practices.
  • Proven experience in understanding existing data model and develop the data objects.
  • Excellent analytical and problem-solving skills.
  • Ability to work independently and collaboratively within a team environment.
  • Strong communication skills to articulate technical concepts to both technical and non-technical audiences

Key Skills
Education

Any Gradute

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