Senior Data Engineer

We are seeking a highly motivated Data Engineer to join a fast-paced, cloud-native engineering team. The ideal candidate will have strong data engineering fundamentals and experience building modern data platforms using Databricks, Snowflake, dbt, and Azure technologies. This role offers an opportunity to work on high-impact data initiatives while leveraging AI-driven engineering practices. Key Responsibilities • Design, develop, and support scalable ETL/ELT data pipelines using Databricks, dbt, Snowflake, and Azure • Develop efficient SQL and Python solutions for data processing and transformation • Ensure data quality, reliability, monitoring, and operational excellence across data platforms • Utilize AI-assisted development tools to accelerate coding, debugging, and productivity • Collaborate with data, analytics, and engineering teams to deliver business-driven solutions • Participate in Agile/Scrum ceremonies and contribute to sprint deliverables • Support production operations, incident resolution, and continuous improvement initiatives • Optimize performance, scalability, and cost-efficiency of data solutions. Required Skills • Strong experience in SQL, ETL/ELT, Python, and Azure • Hands-on expertise with Databricks, dbt, Snowflake, and Azure Data Services • Experience building and maintaining scalable data pipelines • Proficiency in writing optimized SQL queries and Python-based data transformations • Familiarity with Git/version control and Agile development methodologies • Exposure to AI-assisted development tools such as GitHub Copilot or Claude Required Qualifications • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field • 4–6 years of experience in Data Engineering or related disciplines • Strong programming skills in Python and advanced SQL • Experience working with Azure cloud services and modern data platforms • Knowledge of ETL/ELT concepts, data warehousing, and data modeling • Strong analytical, problem-solving, and communication skills • Ability to work effectively in collaborative, cross-functional environments Preferred Qualifications • Experience with Azure Data Factory (ADF), Azure Data Lake, and related Azure services • Exposure to Databricks, dbt, and Snowflake in enterprise environments • Experience using AI-powered development tools for engineering productivity • Background from top-tier universities or experience with leading technology organizations is highly preferred • Demonstrated learning agility and strong problem-solving capabilities Must-Have Skills • SQL • ETL/ELT • Python • Azure • Databricks • dbt • Snowflake ABOUT BRICKRED SYSTEMS BrickRed Systems is a global leader in next-generation technology, consulting, and business process services. The company helps organizations accelerate digital transformation through innovative, scalable, and high-impact solutions across industries worldwide.With ISO 27001 and ISO 9001 certifications and over a decade of experience, BrickRed Systems leverages cloud computing, analytics, hyper-automation, robotics, cognitive computing, and emerging technologies to deliver measurable business outcomes.The organization fosters a strong continuous learning culture, enabling clients and talent to build future-ready digital capabilities and maintain a competitive edge in a rapidly evolving global marketplace.