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Quantiphi

Senior Data Engineer (SSIS/SSRS)

Posted Yesterday
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In-Office
Mumbai, Maharashtra, IND
Senior level
In-Office
Mumbai, Maharashtra, IND
Senior level
Design, develop, and maintain ETL/data pipelines using SSIS; manage and optimize MySQL databases and SQL queries; build and deploy SSRS reports; lead data warehousing and integration efforts; troubleshoot data engineering issues and collaborate with stakeholders.
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While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Role : Senior Data Engineer
Experience : 4-8 Years

Location : Mumbai/Bangalore/Trivandrum
 

Must have skills:

  • Proficiency in managing MySQL databases, including data modeling, optimization, and maintenance.

  • Proficiency in designing, developing, and maintaining data integration solutions using SSIS. Familiarity with data extraction, transformation, and loading (ETL) processes.

  • Advanced skills in building and fine-tuning reports using SSRS, along with a deep understanding of report deployment and management.

  • Experience in designing, implementing, and optimizing data pipelines to facilitate the efficient flow of data.

  • Proficiency in writing SQL queries and optimizing them for performance.

  • Experience in data warehousing and data integration projects, including best practices and methodologies.

  • Strong problem-solving and troubleshooting abilities, especially in the data engineering context.

  • Effective communication skills to collaborate with team members and stakeholders.

Good to have skills:

  • Knowledge of other relational databases, such as Oracle or PostgreSQL.

  • Experience with other ETL tools and processes.

  • Exposure to cloud-based data services in platforms like AWS or Azure.

  • Understanding of data modeling concepts and techniques.

  • Knowledge in data migration, encompassing the seamless transfer of data from on-premises databases to the cloud or from one cloud platform to another.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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