Power BI and Data engineer
Novalink Solutions LLC
Job Description
Job Description
The Department of health and human services requires the assistance of a contract resource to serve as a Data Engineer responsible for the design, development, and optimization of data pipelines and analytics solutions/dashboards on cloud-based data platforms. This work will leverage Azure Synapse Analytics, Power BI, and integrations with Salesforce or Curam/Oracle to support program needs.
Key Responsibilities:
- Analyze source systems and design, develop, and maintain scalable ETL/ELT pipelines using Azure Synapse, Azure Data Factory, and related Azure services.
- Build and manage data ingestion workflows from Salesforce, including API integrations, schema alignment, and performance tuning.
- Develop and maintain data models, data transformations,and semantic layers to support Power BI reporting and analytics.
- Optimize Synapse pipelines, SQL queries, and data storage for performance, reliability, and cost efficiency.
- Troubleshoot pipeline failures, Salesforce API issues,and Power BI dataset/dataflow refresh problems.
Skill
Required / Desired
Amount
of Experience
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 S
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