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Vrinda International

AWS DATABRICKS DATA ENGINEER

Vrinda International Pune, Maharashtra, India · ₹2M/yr

Human Resources Services · 2-10 employees

13 h ago
data-engineer Principal (10+ yrs) Full-time India
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About the role

Develop and maintain scalable ETL/ELT data pipelines using AWS and Databricks technologies. Collaborate with architects, BI, and data science teams to deliver end-to-end data solutions.

What they look for

AWS Databricks Apache Spark PySpark Spark SQL Python Scala Delta Lake ETL/ELT Pipelines Data Modelling Star Schema Snowflake Schema AWS Cloud Storage Power BI Data Engineering Coding Standards

Requirements

Requires 8-12 years of experience with strong expertise in Databricks, Apache Spark, and data engineering best practices. Candidates must be proficient in Python, Scala, and AWS cloud storage environments.

Full description

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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