[Hiring] Senior Data Engineer @BrightClaim

Role Description

Inviting applications for the role of Azure Data Engineer. In this role, we are looking for an experienced Azure data engineer to design, develop, and maintain scalable data solutions on Microsoft Azure. The ideal candidate will have a strong background in data engineering, cloud technologies, and analytics, with expertise in building robust data pipelines and optimizing data workflows. This role requires collaboration with cross-functional teams to deliver high-quality solutions that meet business needs.

• Design and implement scalable data pipelines and ETL processes using Azure Data Factory, Databricks, and other Azure services.
• Develop and optimize data storage solutions, including Azure Data Lake, Azure SQL Database, Snowflake, SQL, and Python.
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
• Ensure data quality, security, and compliance by implementing best practices for governance and monitoring.
• Perform performance tuning and optimization of data workflows and queries.
• Create documentation for data architecture, processes, and workflows to ensure knowledge sharing across teams.
• Work closely with analytics teams to enable advanced reporting and machine learning capabilities.

Qualifications

• Bachelor’s degree in computer science, Information Technology, or a related field.
• Strong experience working in Azure data services, data engineering & transformation projects.
• Strong understanding of data warehousing, ETL processes, OLAP concepts, and data modeling concepts.
• Strong communication and collaboration abilities.
• Experience on Agile way of working.

Requirements

• Proficiency in Azure services such as Azure Data Factory, Azure Data Lake, and Databricks.
• Strong programming skills in Python, SQL for data processing and transformation.
• Experience with ETL/ELT processes and designing data pipelines.
• Experience in Snowflake.
• Knowledge of cloud architecture principles and best practices for scalability and security.
• Familiarity with CI/CD pipelines and DevOps practices for deploying data solutions.

Benefits

• Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter.
• Make an impact – Help global enterprises solve business challenges that matter.
• Accelerate your career – Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead.
• Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day.
• Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress.