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.

Requirements

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 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

Compétences requises

Power BI dashboard design and developmentPower BI datasets, dataflows and DirectQuery/Import model supportAzure Synapse Analytics (pipeline design and optimization)Azure Data Factory (ETL/ELT pipeline development)SQL (advanced query writing, ETL/ELT, performance tuning)Python or Scala for data processingPL/SQL procedure developmentWorking with structured and semi-structured data formats (JSON, CSV, Parquet)Azure cloud services (Data Lake, Azure SQL, monitoring tools)Azure Data Lake Storage, Delta Lake and data warehousing/data modeling (star/snowflake schema)Salesforce API integration and data ingestion workflowsTroubleshooting data pipeline failures, API issues, and Power BI refresh problems

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