Data Engineer: Power BI & Azure Data Pipelines

Chandra Technologies, Inc; Raleigh (NC); On-site; USD 90,000 - 130,000; Full time

Job summary

Chandra Technologies, Inc. seeks a Data Engineer to design, develop, and optimize data pipelines and analytics solutions on Azure-based platforms. The role focuses on Synapse, Data Factory, Power BI, and integrations with Salesforce or Curam/Oracle to support program needs.

You will build scalable ETL/ELT pipelines, ingest data from Salesforce, and develop semantic layers for reporting. Strong SQL, Python/Scala, and ADLS/Delta Lake knowledge are required.

Qualifications

• Experience designing and maintaining scalable ETL/ELT pipelines.
• Building data models and semantic layers for reporting.
• Hands-on with cloud data platforms and performance tuning.

Responsibilities

• Analyze source systems and design, develop, and maintain scalable ETL/ELT pipelines using Azure Synapse and Azure Data Factory.
• Build and manage data ingestion workflows from Salesforce, including API integrations and performance tuning.
• Develop data models, transformations, and semantic layers to support Power BI reporting.
• Optimize Synapse pipelines and SQL for performance, cost, and reliability.
• Troubleshoot pipeline failures and API issues.

Skills

Power BI

Azure Synapse

Azure Data Factory

Salesforce integration

Snowflake

Databricks

Python

Scala

PL/SQL

T-SQL

Tools

Azure Synapse

Azure Data Factory

Power BI

Salesforce

Curam

Oracle

Snowflake

Databricks

Job description

Chandra Technologies, Inc. seeks a Data Engineer to design, develop, and optimize data pipelines and analytics solutions on Azure-based platforms. The role focuses on Synapse, Data Factory, Power BI, and integrations with Salesforce or Curam/Oracle to support program needs.

You will build scalable ETL/ELT pipelines, ingest data from Salesforce, and develop semantic layers for reporting. Strong SQL, Python/Scala, and ADLS/Delta Lake knowledge are required.