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.