Azure Data Engineer

• 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.

• • 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.

• • 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.
• 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 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

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.