- 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.
Preferred candidate profile
- A solid 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.