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!
Job Description:
Role: Senior Data Engineer - Azure
Experience Level: 4 to 7 Years
Work location: Mumbai, Bangalore & Trivandrum
Notice Period:0-15 days(Only candidate serving NP)
Role & Responsibilities:
● Support the planning and implementation of data flow design, provide sizing and configuration assistance.
● Assisting the Solution Architects on programs for transformations and modernizations of data solutions using Azure cloud data technologies.
● Write production quality code to deploy ML workflows in a distributed environment.
● Design and Build Azure Data Pipelines and Data StreamsDesign and build a hybrid data solution using a combination of on-premise and in-cloud services.
● Diagnose and troubleshoot complex distributed systems problems and develop solutions with a significant impact on our massive scale.
● Build tools to ingest and process terabyte-scale data on a daily basis.
● Communicate with a wide set of teams, including product owners, business analysts, data and enterprise architects, platform engineers, and cloud vendors, etc.
● Compilation of detailed design documents, technical specification documents, and test plans as required.
● Independently manage development tasks as per technical specification documents, prod deployment, post-prod support, etc
● Managing support to Unit Testing, SIT & UAT.
● Coordinate with business and support teams on testing and migration activities.
Skills expectation:
● A strong hands-on knowledge of Spark/Pyspark.
● Expertise in writing SQL queries and performance optimization.
● Strong hands-on experience with a programming language like Python(preferred), java, or scala.
● Prior experience with working on cloud platforms like Azure(preferred) , AWS or GCP
● Prior experience of ADF is a plus.
● DataBricks experience is good to have.
● Data Warehouse: Snowflake or Synapse
● Design Dimensional Models for Data Warehouse and Data Marts.
● Knowledge of version control systems and build automation tools like Azure DevOps and/or MLOps
● Experience with operating system internals, file systems, disk/storage technologies, and storage Protocol.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Skills Required
- 4 to 7 years of professional experience
- Strong hands-on knowledge of Apache Spark and PySpark
- Expertise writing SQL queries and optimizing query performance
- Strong hands-on experience with Python, Java, or Scala
- Prior experience with a cloud platform such as Azure, AWS, or GCP
- Experience with Azure Data Factory
- Experience with Databricks
- Experience with Snowflake or Azure Synapse
- Ability to design dimensional models for data warehouses and data marts
- Knowledge of version control and build automation tools such as Azure DevOps or MLOps
- Experience with operating system internals, file systems, disk and storage technologies, and storage protocols
- Ability to serve candidates with a 0 to 15 day notice period
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.
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Wellbeing & Lifestyle Benefits — Wellbeing initiatives such as monthly meeting-free AMA-Zen Days, health check-ups, and wellness counseling are designed to reduce burnout and support day-to-day balance. Broader wellness programs reinforce both physical and mental health.
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Flexible Benefits — Remote/hybrid options with flexible working hours provide meaningful autonomy over where and when work gets done. Flexible leave constructs, including sabbaticals and special day leaves, add practical adaptability to the package.
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Parental & Family Support — Paid parental leave in the U.S., alongside maternity and childcare support, signals solid backing for families. These family-oriented policies integrate with a wider health and wellness focus.
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.
