Data Architect

10 - 20 years

35 - 50 Lacs

Posted:-1 days ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Overview of the requirement:

Responsibility:

  • Implement and maintain

    data warehousing

     solutions in

    Snowflake

     to handle large-scale data processing and analytics needs.
  • Optimize workflows using

    DBT

     to streamline data transformation and modelling processes.
  • Optimize workflows using any data modelling tools to streamline data transformation and modelling processes.
  • Strong expertise in

    SQL

    with hands-on experience in querying, transforming, and analysing large datasets.
  • Good experience in

    Python

     programming
  • Expertise with

    cloud data platforms

     for large-scale data processing.
  • Solid understanding of data profiling, validation, and cleansing techniques.
  • Support both

    real-time

     and

    batch data integration

    , ensuring data is accessible for actionable insights and decision-making.
  • Strong understanding of

    data modelling

    ,

    ETL/ELT processes

    , and modern data architecture frameworks.
  • Hands-on experience with

    Python

     for data engineering tasks and scripting.
  • Collaborate with cross-functional teams to identify and prioritize project requirements.
  • Develop and maintain large-scale data warehouses on Snowflake.
  • Optimize database performance and ensure data quality.
  • Troubleshoot and resolve technical issues related to data processing and analysis.
  • Participate in code reviews and contribute to improving overall code quality.

Job Requirements:

  • Over 10 years of Strong understanding of data modeling and ETL concepts.
  • Experience with Snowflake and Dany Data Modelling is highly desirable.
  • Optimize workflows using

    DBT

     to streamline data transformation and modelling processes.
  • Hands-on experience with

    Python

     for data engineering tasks and scripting.
  • Strong expertise in

    SQL

    with hands-on experience in querying, transforming, and analysing large datasets.
  • Expertise with

    cloud data platforms

     (Azure preferred) and

    Big Data

     technologies for large-scale data processing.
  • Excellent problem-solving skills and attention to detail.
  • Ability to work collaboratively in a team environment.
  • Strong communication and interpersonal skills.
  • Familiarity with agile development methodologies

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