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!
Skills Required
- Proficiency in managing MySQL databases, including data modeling, optimization, and maintenance.
- Designing, developing, and maintaining data integration solutions using SSIS (ETL).
- Advanced skills in building, fine-tuning, deploying, and managing reports using SSRS.
- Designing, implementing, and optimizing data pipelines for efficient data flow.
- Proficiency in writing and optimizing SQL queries.
- Experience in data warehousing and data integration projects, following best practices.
- Strong problem-solving and troubleshooting abilities in a data engineering context.
- Effective communication skills to collaborate with team members and stakeholders.
- Knowledge of other relational databases such as Oracle or PostgreSQL.
- Experience with other ETL tools and processes.
- Exposure to cloud-based data services in AWS or Azure.
- Understanding of data modeling concepts and techniques.
- Knowledge in data migration from on-premises to cloud or between cloud platforms.
Quantiphi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Quantiphi and has not been reviewed or approved by Quantiphi.
-
Flexible Benefits — Hybrid and work-from-home options are commonly available and perceived as meaningful perks that increase overall package value. Flexibility by team and role often enhances day-to-day experience even when cash pay is not top-tier.
-
Healthcare Strength — U.S. materials indicate medical coverage that includes dental and vision, and employee accounts align with having these plans in place. The presence of core health benefits contributes to a baseline of security across key locations.
-
Parental & Family Support — Paid parental leave is available in the U.S., with examples citing generous leave lengths. Family-focused policies appear alongside other flexibility features.
Quantiphi Insights
What We Do
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.
