Data Engineer

Design, construct, and scale continuous integration and continuous delivery (CI/CD) pipelines explicitly optimized for large-scale data products.
Orchestrate intricate data workflows, scheduled transformations, and batch processing dependencies utilizing Apache Airflow.
Implement robust automated testing suites to systematically validate data quality, pipeline integrity, and schema compliance.
Architect enterprise data management strategies to ensure highly secure, organized, and reliable information storage.
Integrate intelligent automation and artificial intelligence (AI) utility features into standard data pipelines to boost efficiency.
Collaborate closely with data science and machine learning teams to structure clean, analytics-ready datasets.
Perform proactive performance tuning, stress testing, and diagnostic monitoring across massive cloud data platforms.

Bachelor’s or Master's degree in Computer Science, Information Technology, Data Engineering, or a closely related quantitative stream.
5–8 years of professional software industry experience focusing on large-scale data architecture and system engineering.
Demonstrated experience designing CI/CD pipelines, container configurations, and continuous delivery loops specifically tailored for data platforms.
Advanced, verifiable hands-on mastery working with Apache Airflow orchestration, automated testing frameworks, and cloud architectures.
Exceptional structural problem-solving logic combined with clean technical documentation and data governance skills.