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Technical Architect – Azure Data Engineering

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Location : Hyderabad/Bangalore

Experience : 10-14 Years

Job Description:

    Excellent verbal and written communication. Should be able to speak confidently throughout the conversation

    Experience working with customer Business/IT team

    Expertise with a minimum of 5+ projects (10+ Yrs exp.)

    SQL Server and Azure SQL Database

    ADF, Databricks, PySpark

    Knowledge and experience in ETL architecture, designing ETL pipelines, Database schema designs, Data modeling techniques, Data Quality stages in various data environments like Data Lake, Data warehouse, Data Marts leveraging the Medallion Architecture

    Designing DB schema, data models on RDBMS and DW leveraging the Medallion Architecture on RDBMS and Azure Data Platform

    Programming and optimizing DB objects Views, Stored Procs, Functions

    Databricks Unity Catalog, Lakehouse

    Experience with minimum 2+ projects (3+ Yrs. exp.)

    Azure SQL DW/Synapse

    Azure Data Lake or Blob storage

    Experience working with high volume data, large objects

    Deep knowledge of the various Data Engineering components within Microsoft Fabric is preferable (including Lakehouse)

    Designing storage and data pipeline solution using Azure Data Services

    Should be able to work independently as the overall Technical in charge for the project

    Should be able to understand requirements, proactively clarify any doubts/assumptions with the team members and proficient in client interactions

    Should be able to guide Leads and developers

    Should be team player

    Should be flexible with working hours (sometimes during deployments, customer calls)

    Should be self-motivated and passionate to become a technology expert

Must haves :

    Experience working with high volume data, large objects and variety of data types

    Experience leveraging the Azure Well-architected Framework (WAF) for Assessments is preferable

    Following the design/coding best practices

    Experience of working in a challenging environment with unclear requirements and contributing collaboratively with the team to refine the requirements

Key Skills: ADF, Databricks, PySpark, Azure SQL Database, Azure Data Lake, or Blob storage

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