Hello All,

Greetings from ZettaMine

Role: ML Data Engineer
Location: Hyderabad (Preferred) / PAN India
Years of Experience: 5–8 Years
Notice Period: Immediate Joiners

Mandatory Skills
Feature Store and ML training pipeline experience
Robust Apache Spark, Dataproc, and PySpark
BigQuery proficiency, including SQL and table design
Python, Java, or Node.js
Hands-on PHI / HIPAA data handling
Specialist ML data engineering experience combining Feature Store engineering, Spark feature pipelines, and HIPAA data handling
Core Responsibilities
Own the Feature Store population pipeline, ingesting Behavior Signals, Insurance Coverage Signals, Clinical Signals, Engagement Signals, Rx Signals, and Contextual Features from curated BigQuery data marts into the GCP Feature Store.
Design and maintain ML training dataset pipelines for NBA and AI Insight models, including offline batch paths, online serving feature paths, training/evaluation splits, and dataset versioning.
Integrate Adobe Analytics event data as a behavioral signal source,



aligning it with clinical and benefits data for multi-source model training.
Operate and tune Dataproc Spark Jobs / Dataproc for large-scale feature engineering and model training data preparation.
Monitor feature freshness, training data drift, and model data quality in partnership with Vertex AI pipelines.
Collaborate with backend domain engineers to define Kafka event schemas that feed ML operations.
Implement HIPAA-compliant handling of PHI across ML training datasets. Apply data classification tagging, field-level masking, and de-identification before model training. Enforce role-based access controls on Feature Store entries and maintain audit trails for PHI access and lineage.
Support Disaster Recovery (DR) zone design for ML data assets. Coordinate cross-region replication of training datasets and Feature Store snapshots, define RTO/RPO for ML pipeline recovery, and participate in DR drills.
Implement data archival policies for ML training

📌 ML Data Engineer (Hyderabad)
🏢 ZettaMine Labs
📍 Hyderabad