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Senior Data Engineer (SSIS/SSRS)

Quantiphi • AI Consulting & Integration • Document AI • SQL • ETL/ELT • SSIS • 4 months ago
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Salary
≈ $21k – $44k per year (Estimated)
Location
In office (Bengaluru, Mumbai)
Seniority
Senior · 4+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Jun 18, 2026. Quantiphi scores A on the Alion truth index.

Overview
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Profile match

Quantiphi

Quantiphi is an artificial intelligence and data engineering company founded in 2013 that builds applied machine learning systems for healthcare, financial services, retail, media and public sector clients. It works as a specialist partner to the major cloud providers, and its work spans document processing, computer vision, forecasting, conversational systems and the data platforms underneath them. Headquartered in Marlborough, Massachusetts with its largest engineering base in India, it employs several thousand people and competes with both the large systems integrators and smaller boutique data science firms.
quantiphi.com • HQ: Marlborough, United States • Document AI • Cloud Consulting & Migration • Data Engineering & Migration Services • AI Consulting & Integration • 1001-5000 employees • Est. 2013
Tech stack of Quantiphi

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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