Data Engineer

We are seeking a highly motivated Data Engineer - Privacy to design, develop, and support scalable data architectures and enterprise data pipelines across cloud, on-premises, and hybrid environments. The ideal candidate will have strong expertise in Azure data services, Snowflake, Databricks, and modern data engineering practices, along with experience building privacy-compliant, AI-enabled data solutions.

This role collaborates closely with cross-functional teams to architect and deliver high-performance data solutions that drive business intelligence, analytics, and privacy initiatives at scale., * Design and develop scalable data pipelines using Azure Data Factory (ADF).

• Build and optimize ETL/ELT solutions using Azure Databricks, ADLS, Snowflake, Oracle, Python, and SQL.
• Develop robust data models and optimize data structures for analytics and reporting.
• Implement data ingestion frameworks utilizing Snowflake features such as:
• Stored Procedures
• Streams
• Tasks
• Snowpipe
• Dynamic Tables
• Iceberg Tables
• Storage Integrations
• Views
• Build big data processing workflows using Apache Spark and Azure Databricks with Unity Catalog.
• Optimize SQL queries, data pipelines, and cluster configurations for performance and cost efficiency.
• Implement data quality, validation, monitoring, and governance mechanisms.
• Ensure compliance with data privacy and regulatory requirements.
• Diagnose and resolve data pipeline issues to ensure reliable data delivery.
• Develop and operate AI-driven privacy data engineering solutions using:
• Foundation Models
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• AI Agents
• Implement audit logging, observability, and human-in-the-loop controls for AI-assisted workflows.
• Mentor team members and contribute to technical excellence and innovation.

• Bachelor's degree in Computer Science, Computer Engineering, or a related field.
• 2-3 years of hands-on experience designing and supporting data engineering and ETL solutions.
• Strong experience with:
• Microsoft Azure Platform
• Azure Data Factory (ADF)
• Azure Databricks
• Azure Data Lake Storage (ADLS)
• Snowflake
• Oracle
• Python
• SQL
• Expertise in writing complex, scalable, high-performance SQL queries and stored procedures.
• Experience building data solutions using Azure Flink, dbt, and open-source frameworks.
• Experience implementing CI/CD pipelines using Azure DevOps or GitLab.
• Strong analytical, troubleshooting, and problem-solving abilities.
• Excellent communication and stakeholder management skills.
• Ability to thrive in a fast-paced, agile environment.

Preferred Qualification

• Experience with privacy engineering and data governance initiatives.
• Familiarity with AI productivity tools such as Claude, Cursor, or similar IDEs.
• Experience developing vendor-agnostic data engineering solutions.
• Knowledge of Agile methodologies and software engineering best practices.

BrickRed Systems is a global leader in next-generation technology consulting and workforce solutions, specializing in delivering high-quality talent across digital, engineering, marketing, analytics, finance, operations, and business transformation domains.With a strong emphasis on innovation, scalability, and client success, BrickRed Systems helps organizations solve complex business challenges by providing skilled professionals across strategy, technology, creative, and operational functions. BrickRed fosters a culture of continuous learning, collaboration, and excellence, enabling professionals to contribute to high-impact global initiatives while advancing their careers.