Data Engineer – Data Platforms

Hiring: Data Engineer – Data Platforms

Location: Bangalore

Work Mode: Work From Office (Day 1 Mandatory)

We are looking for a highly skilled Data Engineer – Data Platforms with strong expertise in building scalable data and ML engineering solutions.

Key Responsibilities:

• Design and build scalable batch & streaming data pipelines using Spark, Databricks, and Kafka

• Develop robust data models, ETL/ELT frameworks, and feature pipelines

• Ensure data quality, observability, lineage, and performance optimization

• Build and deploy end-to-end ML pipelines (feature engineering, training, evaluation, deployment)

• Collaborate with Data Scientists to productionize ML models

• Implement CI/CD, model versioning, monitoring, and automation for ML workflows

• Work closely with engineering and product teams for data-driven solutions

Required Skills:

• 7+ years of experience in Data Engineering / Data Platforms

• Strong hands-on experience with Spark, Databricks, Kafka

• Experience in ML engineering and production ML pipelines

• Strong understanding of distributed data systems and ETL frameworks

• Experience in CI/CD and MLOps practices

• Strong problem-solving and system design skills