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Azure Data Engineer
Job in
Weehawken, Hudson County, New Jersey, 07086, USA
Listed on 2025-12-19
Listing for:
Pyramid Technology Solutions, Inc.
Full Time
position Listed on 2025-12-19
Job specializations:
-
IT/Tech
Data Engineer, Azure, Cloud Computing, Data Analyst
Job Description & How to Apply Below
Position:
Azure Data Engineer
Location:
Weehawken, NJ
Duration: 12+Months with possible extensions Main Skill:
Data Software Engineering Skill Spec: DSE Python Azure Databricks Must have skills:
Apache Spark, Azure Data Factory, Azure SQL Microsoft, Azure Synapse Analytics, ETL/ELT Solutions Nice to have skills:
Apache Kafka, CI/CD and Python Your Expertise:
- Expert level skills writing and optimizing complex SQL
- Experience with complex data modeling, ETL design, and using large databases in a business environment
- Experience with building data pipelines and applications to stream and process datasets at low latencies
- Fluent with Big Data technologies like Spark, Kafka and Hive
- Expert level understanding of Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service
- Designing and building data pipelines using API ingestion and Streaming ingestion methods
- Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code
- Experience in developing No
SQL solutions using Azure Cosmos DB - Thorough understanding of Azure and AWS Cloud Infrastructure offerings
- Working knowledge of Python is desirable
- Design and implement scalable and secure data processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services
- Manage and optimize data storage using Azure Data Lake Storage, Azure SQL Data Warehouse, and Azure Cosmos DB
- Monitor and troubleshoot data-related issues within the Azure environment to maintain high availability and performance
- Implement data security measures, including encryption, access controls, and auditing, to protect sensitive information
- Automate data pipelines and workflows to streamline data ingestion, processing, and distribution tasks
- Utilize Azure’s analytics services, such as Azure Synapse Analytics, to provide insights and support data-driven decision-making
- Document data procedures, systems, and architectures to maintain clarity and ensure compliance with regulatory standards
- Provide guidance and support for data governance, including metadata management, data lineage, and data cataloging
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