Analytics Engineer III

Overview

Analytics Engineer III is a senior individual contributor role in BIT Hyderabad, focused on designing, building, and operating data engineering and ML engineering systems that power analytics, data science, and AI/ML at scale.

What you'll do

• Design and operate end-to-end data products on Databricks, covering ingestion through observability.
• Build and run production-grade Lakehouse pipelines using Delta Lake and related Databricks tooling.
• Design and operate end-to-end ML pipelines from feature engineering through monitoring.
• Build and maintain MLOps platform components, including experiment tracking and model registries.
• Handle production ML pipeline scheduling and manage SLA adherence, triage, and incident resolution.
• Lead observability across data and ML systems and support cloud migration/modernization efforts.

What you'll need

• 5+ years of hands-on data engineering and/or MLOps experience.
• Deep hands-on experience with Databricks Lakehouse, Delta Lake optimization, Unity Catalog, and Workflows.
• Experience leading cloud migration or modernization to Databricks, AWS, or Kubernetes.
• Familiarity with healthcare/clinical data and regulatory considerations (GxP, HIPAA) and pharmaceutical data governance.
• Expertise in Python and SQL, including PySpark and data modeling concepts.
• Professional documentation of data/ML work through standards, code reviews, and technical communication artifacts.

Details

• Location: Hyderabad, Telangana, India.
• Job model: remote-by-design is mentioned as one of four work models (assignment depends on core responsibilities).