Senior Data Engineer

Job summary

The role involves designing, building, and operating scalable data products and pipelines to support business insights and AI-driven decision-making. The Senior Data Engineer will work across various domains including data engineering, analytics, and AI/ML engineering to create reliable data solutions.

Qualifications

• Over 6 years of experience in data engineering, analytics engineering, or data platform delivery.
• MS or BS in Computer Science or a related field.
• Strong proficiency in SQL, Python, and PySpark.
• Experience with cloud data platforms and distributed processing.

Responsibilities

• Design and optimize scalable batch and streaming data pipelines.
• Develop orchestration workflows for data ingestion and transformation.
• Create trusted datasets for reporting and advanced analytics.
• Collaborate with analytics teams to deliver high-quality datasets and visualizations.
• Build data pipelines for machine learning and AI use cases.
• Ensure data solutions are reliable, scalable, and production-ready.

Skills

• Advanced SQL skills for data modeling and query design.
• Hands-on knowledge of Python and PySpark for data processing.
• Familiarity with cloud data platforms and orchestration tools.
• Strong problem-solving skills and ability to engage with stakeholders.

Education

• MS or BS in Computer Science or a science/engineering discipline.

Tools

• Experience with ETL/ELT pipelines, orchestration workflows, and data quality checks.