Data Virtualization Architect

5 days ago

Gurgaon, Haryana, India GSS HR Solutions Pvt Ltd Full time
Job Title: Data Virtualization Architect

We are seeking a seasoned data virtualization architect to join our team. In this role, you will play a pivotal part in designing and implementing innovative data solutions.

Your expertise in Denodo will be instrumental in streamlining data access, enhancing data quality, and accelerating data-driven decision-making.

Key Responsibilities:
  • Data Virtualization Design and Development: Design and develop complex data services using the Denodo Platform. Create efficient and optimized data views and virtual data models. Integrate diverse data sources, including relational databases, big data, and cloud-based systems.
  • Data Warehousing and ETL: Collaborate with data engineers to design and implement data warehousing solutions. Develop and maintain ETL processes to extract, transform, and load data into the data warehouse. Ensure data quality and consistency throughout the data pipeline.
  • Performance Optimization: Monitor and optimize Denodo performance, including query tuning and indexing. Identify and resolve performance bottlenecks.
  • Collaboration and Problem-Solving: Work closely with business analysts, data architects, and other stakeholders to understand business requirements. Troubleshoot and resolve complex technical issues.
  • Best Practices and Innovation: Stay up-to-date with the latest trends and technologies in data virtualization and data warehousing. Contribute to the development of best practices and standards.
Required Skills and Experience:
  • 11+ years of experience in data engineering, data warehousing, and data virtualization.
  • Strong proficiency in the Denodo Platform, including data modeling, data services development, and performance tuning.
  • In-depth knowledge of SQL, data modeling techniques, and ETL processes.
  • Experience with data integration tools and technologies (e.g., Informatica, Talend). Understanding of data warehousing concepts and dimensional modeling.
  • Strong problem-solving and analytical skills.
  • Excellent communication and interpersonal skills.
Preferred Qualifications:
  • Experience with cloud platforms (AWS, Azure, GCP).
  • Knowledge of big data technologies (Hadoop, Spark).
  • Experience with data governance and data quality practices.

Estimated Salary: ₹30 lakhs per annum

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