Senior Data Engineer

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 & 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 Streams Design 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).
● 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.