Develop scalable AWS and Databricks data solutions, including ETL/ELT pipelines, batch and near-real-time processing, data modeling, and large-scale data engineering. Use Spark, PySpark, Spark SQL, Python, Scala, Delta Lake, and AWS storage. Collaborate with architects, BI, and data science teams while applying engineering best practices. Preferred experience includes ML/AI workloads, feature engineering, MLflow, CI/CD, Git, governance, compliance, Agile/Scrum, and insurance.
HIRING | AWS DATABRICKS DATA ENGINEER
Location: PAN India – Pune, Kolkata, Hyderabad, Chennai, Noida, Warangal, Bangalore, Coimbatore
Experience: 8–12 Years
Salary: ₹16.5–17.5 LPA
Shift: 11:30 AM – 9:00 PM
Mandatory: AWS + Databricks
ROLE OVERVIEWWe are looking for an experienced AWS Databricks Data Engineer with strong expertise in Databricks development, data engineering, ETL/ELT pipelines, and large-scale data processing.
Databricks Development & Data Engineering
Apache Spark, PySpark, Spark SQL, Python & Scala
Delta Lake – ACID, Schema Evolution & Optimization
Batch & Near Real-Time Data Pipelines
ETL/ELT Pipeline Development
Data Modelling – Star & Snowflake Schema
AWS Cloud Storage
Power BI
Coding Standards & Data Engineering Best Practices
GOOD TO HAVE• ML/AI workloads & Feature Engineering on Databricks
• MLflow / Model Tracking
• Databricks CI/CD & Git
• Data Governance, Security & Compliance
• Agile/Scrum experience
• Insurance domain experience
Looking for candidates who can deliver scalable, end-to-end data solutions while collaborating with Architects, BI and Data Science teams.
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