Data Engineer-Microsoft Azure Databricks

12 - 14 years

2 - 5 Lacs

Posted:2 months ago| Platform: Foundit logo

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Skills Required

Work Mode

On-site

Job Type

Full Time

Job Description

  • As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. You will create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems. Your day will involve working on various data projects and collaborating with cross-functional teams to drive data initiatives.

Roles & Responsibilities:

  • Serve as a Subject Matter Expert (SME) and manage the team to deliver results.
  • Take responsibility for team-level decisions and performance.
  • Collaborate with multiple teams and contribute to strategic technical decisions.
  • Provide scalable and effective solutions for both team-specific and cross-team challenges.
  • Lead the design and development of data solutions and infrastructure.
  • Implement and optimize data pipelines for efficient and scalable data processing.
  • Ensure data quality, consistency, and integrity throughout the data lifecycle.
  • Partner with stakeholders to gather requirements and deliver data-driven solutions.

Professional & Technical Skills:

Must-Have Skills:

  • Proficiency in

    Microsoft Azure Databricks

  • Strong understanding ofcloud-based data engineering

    concepts
  • Experience with

    big data technologies

    such as

    Hadoop

    and

    Spark

  • Solid knowledge ofdata modeling

    and

    database design

    principles
  • Hands-on experience with

    SQL

    and

    NoSQL

    databases.

Experience Required:

  • Minimum of

    5 years

    of experience working with

    Microsoft Azure Data bricks

Educational Qualifications:

  • 15 years of full-time education

  • Bachelors or Masters degree inComputer Science, Engineering, Data Science, or a related field

Additional Information:

  • This role is

    based in our Mumbai office

  • Candidates should be comfortable working in acollaborative, fast-paced environment

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