4 - 7 years

15 - 25 Lacs

Posted:4 hours ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Role: Senior Data Engineer (Azure Cloud)

Experience Level: 3 + Years

Work location: Mumbai, Bangalore & Trivandrum

Notice Perid: Only 0-30 days NP

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 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.

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/orMLOps.

  • Experience with operating system internals, file systems, disk/storage technologies, and storage Protocol.


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