Overview
On Site
Depends on Experience
Contract - W2
Skills
API
Amazon Web Services
Apache Spark
Apache Kafka
Big Data
Data Lake
Data Security
Data Storage
Data Warehouse
ELT
Extract
Transform
Load
Databricks
SQL Azure
IaaS
Data Governance
Cosmos
Continuous Integration
Access Control
Job Details
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 NoSQL solutions using Azure Cosmos DB
- Thorough understanding of Azure and AWS Cloud Infrastructure offerings
- Working knowledge of Python is desirable
Key Responsibilities:
- 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.