0 years

7 - 8 Lacs

Posted:3 days ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

Job Description

Key accountabilities
  • Focuses on implementing the architect’s designs by building, maintaining, and optimizing the data pipelines

and infrastructure required for data storage and processing

  • Works hands-on, diving deep into the code and tools to implement the data infrastructure and address day-

to-day technical challenges.

  • Writes and maintains ETL (Extract, Transform, Load) pipelines.
  • Builds systems to move and process data efficiently.
  • Implements and monitors data systems for performance and reliability.
  • Works closely with data architects and analysts to implement and optimize systems based on the architect's

blueprints.

  • Outputs include functional data pipelines, optimized databases, and automated workflows

Skills and Experience | Essential
  • Experience as implementing Data solutions also experience in

implementing and managing data solution using Microsoft Azure

  • Proficient in programming languages like Python (preferable) or C#,
  • Strong understanding of Data modelling (star schema/ snowflake schema)
  • Strong understanding dataflow/power Query, DAX query , SQL, KQL
  • Hands-on experience of Azure Data services such as Power BI for Visualisation, Azure Synapse (or AAS) for

analytics , Azure Data Factory for ETL/Pipeline, Azure Data Lake Storage Gen 1/ Gen 2 , Azure Blob for

storage & warehouse.

  • Mandatory knowledge of using Microsoft Fabric (or Azure Synapse) and it’s components such as notebooks,

shortcuts, data lake and data warehouse
Skills and Experience | Desired

  • Hands-on understanding of Power BI (or similar like Tableau).
  • Knowledge in other data platform such as Snowflake , Databrick is plus
  • Microsoft certified Fabric DP-600 or DP-700 is big plus , plus any other relevant Azure Data certification is

advantage

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