Q
Quantiphi
Data Engineer

Senior Data Engineer (SSIS/SSRS)

On-siteSeniorData Engineerposted 3mo ago
Role summaryAI-generated

Quantiphi is looking for a Senior Data Engineer to design and maintain MySQL databases and build SSIS-based ETL pipelines. The role focuses on data modeling, integration, and reporting using SSRS in a dynamic, growth-oriented environment.

Skills required

About this role

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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