AtScale/Denodo Data Virtualization Engineer

1 week ago


Chennai, Tamil Nadu, India Cortex Consulting Pvt. Ltd. Full time

Experience :

  • A minimum of 8 years of overall IT experience.
  • 12 years of handson experience working with AtScale or Denodo data virtualization platforms.
  • 5+ years of experience working with relational databases (e. g., Oracle, SQL Server, MySQL).

Technical Skills :

  • Indepth knowledge of data warehousing and data modeling concepts (star schema, snowflake schema).
  • Proven experience working with structured and unstructured data sources.
  • Solid understanding of JDBC, XML, and web services APIs for data integration.
  • Experience with production support activities, including deployments and troubleshooting.
  • Proven ability to write efficient SQL queries to exploit databases.
  • Working knowledge of data mapping techniques.
  • Familiarity with programming languages like Java, Python, and R (a plus).
  • Expertise in data source modeling for data warehouse environments.

Additional Skills :

  • Experience with ETL (Extract, Transform, Load) processes, data storage, and BI tools.
  • Handson experience with realtime data ingestion techniques (a plus).
  • Familiarity with data visualization tools like Power BI or Tableau (a plus).
  • Basic understanding of CI/CD (Continuous Integration/Continuous Delivery) using tools like Jenkins or Maven for automated deployments (a plus).

Soft Skills :

  • Excellent communication and collaboration skills to work effectively with data analysts, developers, and other stakeholders.
  • Strong problemsolving and analytical skills.
  • A proactive and resultsoriented approach to work.
  • Ability to learn new technologies quickly and adapt to changing requirements.

Responsibilities :

  • Design and develop data virtualization layers using AtScale or Denodo to provide unified access to diverse data sources.
  • Configure and manage data connections, transformations, and security within the data virtualization platform.
  • Develop and maintain data virtualized views to meet specific business needs.
  • Optimize data access performance and troubleshoot data quality issues.
  • Collaborate with data analysts and developers to understand data requirements and design solutions.
  • Stay uptodate with the latest advancements in data virtualization technologies and best practices.
  • Participate in the implementation and ongoing support of data virtualization projects.
  • Document data virtualization designs and configurations for future reference.
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