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 workplace.
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.
Preferred candidate profile
A solid hands-on knowledge of Spark/Pyspark.
Expertise in writing SQL queries and performance optimization.
Robust 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.