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Data Engineer
Job in
Tanaina, Matanuska-Susitna Borough, Alaska, USA
Listed on 2026-09-04
Listing for:
Tech3pillars Technologies
Full Time
position Listed on 2026-09-04
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing
Job Description & How to Apply Below
Job title:
Data Engineer Azure Synapse & Microsoft Fabric
Location:
Atlanta, GA(Onsite)
Job Summary
We are seeking a highly skilled Data Engineer with strong expertise in Azure Synapse Analytics, Apache Spark, and modern cloud-based data platforms. The ideal candidate will have hands-on experience designing and implementing scalable data solutions, building robust data pipelines, and leveraging Data Lake architectures to support enterprise analytics and reporting initiatives.
- Design, develop, and optimize scalable data pipelines using Azure-based technologies.
- Build and maintain enterprise data solutions using Azure Synapse Analytics.
- Develop data transformation and processing workflows using PySpark and Spark SQL.
- Design and implement Data Lake solutions following Medallion Architecture (Bronze, Silver, Gold layers).
- Work with structured and unstructured data from multiple sources to support business analytics needs.
- Optimize Spark workloads and troubleshoot performance issues in distributed data processing environments.
- Collaborate with architects, analysts, developers, and business stakeholders to deliver high-quality data solutions.
- Support data quality, governance, and reliability initiatives across the data platform.
- Contribute to the adoption and implementation of Microsoft Fabric capabilities where applicable.
- 8+ years of experience in Data Engineering and Data Platform development.
- Strong hands-on experience with Azure Synapse Analytics.
- Solid understanding of Microsoft Fabric and its data engineering capabilities.
- Deep knowledge of Apache Spark architecture and distributed computing concepts.
- Extensive experience with PySpark and Spark SQL.
- Strong understanding of Data Lake concepts and modern data architecture patterns.
- Experience implementing Medallion Architecture and large-scale data processing solutions.
- Strong SQL development and performance tuning skills.
- Excellent analytical, troubleshooting, and problem-solving abilities.
- Strong verbal and written communication skills.
- Experience with Azure Data Lake Storage (ADLS), Azure Data Factory, and other Azure data services.
- Exposure to data warehousing, ETL/ELT frameworks, and cloud-native analytics solutions.
- Experience working in Agile/Scrum environments.
- Knowledge of data governance, security, and performance optimization best practices.
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