Azure Data Engineer

Bright Vision Technologies•Bridgewater Township, NJ

1d•Remote

About The Position

Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications. As we continue to grow, we’re looking for a skilled to join our dynamic team and contribute to our mission of transforming business processes through technology. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: Azure Data Engineer Job Location: Bridgewater, New Jersey - 08807 Onsite/Hybrid: Remote Job Description: We are seeking a highly skilled Azure Data Engineer to design, build, and optimize enterprise-grade data solutions on Microsoft Azure. The ideal candidate will have extensive experience in data architecture, ETL pipelines, big data processing, and cloud-native analytics, with a strong focus on scalability, performance, and security.

Requirements

Bachelor’s/Master’s in Computer Science, Data Engineering, or related field.
7+ years in data engineering, with at least 4+ years on Azure cloud.
Azure Synapse, Azure SQL, Azure Data Lake, Azure Data Factory.
Databricks, Spark, Python, SQL, Scala.
Event Hub, Stream Analytics, Cosmos DB.
Power BI for visualization and reporting.
Strong knowledge of data warehousing, ETL, and big data concepts.
Strong analytical and problem-solving skills.
Excellent communication and stakeholder management.
Ability to lead projects and work in Agile/Scrum environments.

Nice To Haves

Microsoft Certified: Azure Security Engineer Associate (AZ-500)
Microsoft Certified: Azure Administrator Associate (AZ-104)
Databricks Certified Data Engineer Professional
AWS Certified Data Analytics – Specialty (for multi-cloud exposure)
Google Professional Data Engineer (for hybrid/multi-cloud strategies)

Responsibilities

Design and implement scalable data architectures using Azure Synapse Analytics, Azure SQL Database, and Azure Data Lake.
Develop logical and physical data models, ensuring normalization, dimensional modeling, and schema optimization.
Implement data governance, lineage, and cataloging using Azure Purview.
Build and manage ETL/ELT pipelines using Azure Data Factory (ADF).
Integrate structured, semi-structured, and unstructured data from multiple sources (on-prem, cloud, APIs).
Optimize ingestion pipelines for batch and real-time streaming data using Azure Event Hub and Azure Stream Analytics.
Work with distributed data processing frameworks (Databricks, Spark, Hadoop).
Implement advanced analytics solutions, including machine learning pipelines in Azure ML.
Enable self-service BI through Power BI dashboards and semantic models.
Deploy and manage data solutions using Infrastructure as Code (IaC) with ARM templates, Terraform, or Bicep.
Integrate CI/CD pipelines for data workflows using Azure DevOps or GitHub Actions.
Ensure high availability, disaster recovery, and performance tuning of data systems.
Implement role-based access control (RBAC), encryption, and data masking.
Ensure compliance with GDPR, HIPAA, and enterprise security standards.
Monitor and audit data usage with Azure Monitor and Log Analytics.
Partner with data scientists, analysts, and business stakeholders to deliver insights.
Mentor junior engineers and enforce coding/data standards.
Drive best practices in data engineering and cloud adoption.