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# Data Engineer

- **Company:** Intersources Inc.
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Databases, Directed Acyclic Graph (Directed Graphs), Extract Transform Load (ETL), Relational Databases, Database Design, DevOps, Monitoring of Systems, Python (Programming Language), Performance Tuning, Systems Development Life Cycle, Power BI, Cloud Services, PL-SQL, SQL Databases, Data Ingestion, Azure Data Factory, Apache Spark, Data Lakes, Pyspark, Azure Synapse Analytics, Software Version Control, Databricks
- **Published:** October 14, 2026
- **Apply:** https://www2.jobdiva.com/portal/?a=62jdnw10t7d77ytz0lbaey9qxonk3b05a9tqw96rb7z6hlfo7xj79l9g6mp6aj2o&compid=0/jobs/31188972#/jobs/31188972

## About the Role

* Hands-on experience with Spark, Delta Lake, and PySpark.
 * Proficiency in SQL, Python, and cloud services (Azure).
 * Experience with Azure Synapse, and Blob Storage.
 * Familiarity with CI/CD pipelines and monitoring tools.
 * Strong communication and customer-facing skills.
 * Proficiency in PowerBI and SQL or PL/SQL.
 * Strong understanding of database design and data modeling.
 * Excellent problem-solving skills and attention to detail.
 * Strong communication and team collaboration skills.
 * 5+ years of experience with Azure(ADF, synapse) and Databricks in production environments.

## Description

* Monitor and troubleshoot Databricks jobs.
 * Possess a strong understanding of database fundamentals, including relational database design and PL/SQL.
 * Have substantial hands on experience and knowledge in PowerBI.
 * Work closely with clients and support teams to review and manage deliverables.
 * Design and optimize ETL workflows using Databricks, Azure Data Factory.
 * Manage data ingestion.
 * Maintain code versioning using Devops and follow SDLC best practices.
 * Perform root cause analysis and performance tuning using Spark UI, DAGs, and logs.