Azure Data Engineer

Overview

Azure Data Engineer 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 Azure Data Engineer 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

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.

• Data Architecture & Modeling
  • 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
• Data Integration & ETL
  • 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
• Big Data & 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
• Cloud & Dev Ops
  • 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 Dev Ops or Git Hub Actions
  • Ensure high availability, disaster recovery, and performance tuning of data systems
• Security & Compliance
  • 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
• Collaboration & Leadership
  • 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

• Education:
  
  Bachelor’s/Master’s in Computer Science, Data Engineering, or related field
• Experience:
  
  7+ years in data engineering, with at least 4+ years on Azure cloud
• Technical Expertise:
  • 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
• Soft Skills:
  • Strong analytical and problem-solving skills
  • Excellent communication and stakeholder management
  • Ability to lead projects and work in Agile/Scrum environments

• 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)

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

• Candidates must be eligible for new H-1B filing
• OPT, STEM OPT, CPT (with required experience), H-1B transfer, EAD
• All filings will be handled as per USCIS and DOL compliance guidelines

• Opportunity to work with leading enterprise clients
• Transparent H-1B process and long-term project visibility
• Strong recruiter and legal support
• Career growth across multiple technology domains

We are committed to providing…