Quantiphi - Data Engineer - Spark/PySpark

Role : Data Engineer - Azure (Associate Architect / Senior)

Experience Level : 4 to 7 Years

Work location : Mumbai, Bangalore & Trivandrum

Notice Period : 0-15 days

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), 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.