Cloud Technical Lead - Data

8 - 13 years

9 - 15 Lacs

Posted:15 hours ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Cloud Technical Lead - Data

As a Cloud Technical Lead - Data, you will get to:

  • Lead the

    building of an Enterprise Data platform using Snowflake

    .
  • Set up

    scalable, robust, and resilient Databricks clusters

    .
  • Build pipelines to

    validate, ingest, normalize/enrich, and perform business-specific data processing

    .

What We're Looking For

  • Experience:

  • 7-10 years of overall experience

    in data technologies.
  • 5+ years of working experience in Data processing / ETL.

  • 2+ years of working experience in Snowflake.

  • A minimum of

    2 years working experience in Databricks and Python.

  • Education:

    BE, B.Tech in Information Technology, or a related field.
  • Snowflake Expertise:

    Strong understanding of

    Snowflake architecture, roles, and user security

    . Proven experience in Snowflake with

    data modeling, data pipelines, data governance, and performance tuning

    . Understanding of Snowflake capabilities like

    Snowpipe, STREAMS

    , etc.
  • Azure Data Services:

    Strong knowledge and skills in Azure. Experience with implementation of

    Azure data services solutions

    , including

    Azure Data Factory, SQL Database, Stream Analytics, Data Lake, Event Hubs

    .
  • Data Fundamentals:

    Deep understanding of

    Data Warehousing concepts, reporting, and analytical concepts

    .
  • Programming:

    Proficient in technologies such as

    Azure Data Factory, Azure Databricks, SQL, and Python

    .
  • Data Pipelines:

    Experience building data pipelines and infrastructure.
  • Leadership & Collaboration:

    Excellent communication, collaboration, and leadership skills.
  • Work Ethic:

    Ability to work under pressure, prioritize, and multitask.
  • Attention to Detail:

    Strong attention to detail, quality, and accuracy.
  • Good to have:

    Experience with Machine Learning and Big Data tech stack.

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