MO 85-Power BI and Data Engineer

Cornerstone Barricades

Raleigh, NC, United States

14 days ago

Apply on focusedhrsolutions.betterteam.com

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Working hours

Regular working hours

Job source

focusedhrsolutions.betterteam.com

Tech stack

Microsoft Azure Computer Programming Extract Transform Load (ETL) Database Queries Monitoring of Systems JSON Python (Programming Language) SQL Azure Performance Tuning Query Optimization Power BI Azure Data Lake

+13 more

PL-SQL SQL Databases Transact-SQL Parquet Data Processing Snowflake Data Lakes Semi-structured Data Star Schema Azure Synapse Analytics Data Pipelines Databricks Programming Languages

Requirements

Strong Hands-on experience configuring, designing, developing and testing dashboards using Power BI Required 5 Years.
Experience supporting Power BI datasets, dataflows, and DirectQuery/Import models. Required 5 Years.
Experience working with structured and semi-structured data formats (JSON, CSV, Parquet, etc.). Required 3 Years.
Strong experience in designing and optimizing scalable data pipelines using modern platforms like Azure Synapse, Snowflake or Databricks workflows Required 3 Years.
SQL Mastery: Advanced query writing, ETL/ELT, performance tuning, and optimization. Required 5 Years.
Programming Languages: Strong proficiency in Python or Scala for data processing. Required 3 Years.
Hands-on experience in developing efficient PL/SQL procedures Required 5 Years.
Experience with Programming and Scripting (SQL, T-SQL, and data query optimization) Required 2 Years.
Solid understanding of Azure cloud services (Synapse, Data Lake, Data Factory, Azure SQL, monitoring tools). Required 2 Years.
Experience in Azure Data Lake Storage (ADLS), Delta Lake, and data modeling concepts and Warehousing (star schema, snowflake schema) Required 2 Years.
The State of NC has the right to negotiate the rate. Please confirm you accept.
Please provide a brief description of recent hands-on development work in building data pipeline using Azure Synapse Analytics.