Data Engineer

Brackly AI is seeking a skilled, analytical, and detail-oriented Data Engineer to design, build, and maintain reliable data infrastructure and pipelines that support AI, analytics, and business applications. The ideal candidate will have strong experience in data engineering, database systems, ETL/ELT pipelines, and cloud technologies, with a passion for building scalable and high-quality data solutions.

Key Responsibilities

✔ Design, develop, and maintain scalable data pipelines and data processing systems
✔ Build and optimize ETL/ELT workflows for collecting, transforming, and integrating data from multiple sources
✔ Develop and maintain data warehouses, databases, data lakes, and related infrastructure
✔ Ensure data accuracy, consistency, quality, availability, and security across systems
✔ Work closely with data scientists, AI engineers, software developers, and business teams to support data requirements
✔ Prepare and transform structured and unstructured data for analytics and machine learning applications
✔ Optimize database queries, data pipelines, and processing performance
✔ Implement data validation, monitoring, and quality-control processes
✔ Develop automated data workflows and improve overall data engineering efficiency
✔ Integrate APIs, third-party platforms, and external data sources into internal data systems
✔ Implement appropriate data governance, access controls, and security practices
✔ Troubleshoot data pipeline failures and resolve data-quality and infrastructure issues
✔ Document data architecture, pipelines, processes, and technical solutions
✔ Monitor data infrastructure and proactively identify performance and reliability issues
✔ Stay updated with modern data engineering tools, cloud platforms, AI infrastructure, and industry best practices

Requirements

✅ Minimum 3 years of experience in data engineering, data infrastructure, or a related technical role
✅ Strong proficiency in Python and SQL
✅ Hands-on experience building ETL/ELT pipelines and data processing workflows
✅ Strong understanding of relational and NoSQL databases
✅ Experience with data warehousing, data lakes, and modern data architectures
✅ Experience with cloud platforms such as AWS, Azure, or Google Cloud will be preferred
✅ Familiarity with Apache Spark, Airflow, Kafka, or similar data engineering technologies
✅ Understanding of data modeling, database optimization, and distributed data processing
✅ Experience working with APIs and integrating multiple data sources
✅ Strong understanding of data quality, validation, monitoring, and governance
✅ Familiarity with Docker, Git, CI/CD, and modern software development practices
✅ Strong analytical, troubleshooting, and problem-solving abilities
✅ Ability to collaborate effectively with AI/ML and software engineering teams
✅ Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, or a related field will be preferred

If you are a data-focused engineer who enjoys building reliable, scalable infrastructure and enabling AI and analytics teams with high-quality data, we would love to hear from you.