Sr. Data Engineer-7-10 yrs Exp Power Bi Mandatory

0 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

What roles and responsibilities will be performed by the selected candidate? 

  • Design, build, and maintain 

    data pipelines

     using 

    Azure Data Factory

     and other Azure services.  


  • Develop and optimize 

    SQL queries

     for data extraction, transformation, and loading (ETL).  


  • Implement 

    data integration solutions

     across multiple sources and ensure data quality and consistency.  


  • Analyze and understand business logic embedded in stored procedures and assist in rewriting or optimizing them for better performance and maintainability. 


  • Design and implement robust 

    data models

     (star/snowflake schemas), optimizing relationships, cardinality, and performance. 


  • Develop 

    advanced and high-performance DAX measures

     (time intelligence, complex calculations, optimization techniques). 


  • Implement 

    Row-Level Security (RLS)

     and role-based access to ensure secure, governed data consumption. 


  • Build scalable, interactive 

    Power BI reports and dashboards

    , following best practices for usability and performance. 


  • Configure 

    report scheduling, refresh, and delivery

     using Power BI Service, gateways, subscriptions, and alerts. 


 

What is the expectation from the candidate’s current role/profile? 

 

  • Solid experience

     in data engineering or related roles.  


  • Strong proficiency in 

    SQL

     (complex queries, stored procs, performance tuning).  


  • Hands-on experience with 

    Azure Data Factory

     and 

    Azure Data Services

     (e.g., Azure Data Lake, Azure Synapse, Azure SQL Database).  


  • Solid understanding of 

    ETL processes

     and data warehousing concepts.  


  • Intermediate to Advance level Power BI Skillset 


  • Experience with 

    version control

     (Git) and CI/CD for data pipelines.  


  • Excellent problem-solving and communication skills. 


 

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