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Vrinda International

AWS DATABRICKS DATA ENGINEER

Posted One Month Ago
Be an Early Applicant
Remote
Hiring Remotely in Karnataka, IND
Expert/Leader
Remote
Hiring Remotely in Karnataka, IND
Expert/Leader
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.
The summary above was generated by AI

 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 OVERVIEW

We 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.

 KEY SKILLS


 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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