AWS DATABRICKS DATA ENGINEER

VRINDA INTERNATIONAL; Papum Pare District; On-site; INR 1,650,000 - 1,750,000; Full time

Job summary

VRINDA INTERNATIONAL is seeking an experienced AWS Databricks Data Engineer to design and build large-scale data solutions. You will work on Databricks development, ETL/ELT pipelines, and data processing across multiple Indian cities.

The role demands 8–12 years of experience, strong AWS and Databricks expertise, and collaboration with Architects, BI and Data Science teams; Pune, Kolkata, Hyderabad, Chennai, Noida, Warangal, Bangalore, Coimbatore.

Qualifications

• We are seeking 8–12 years of experience in data engineering.
• Mandatory: AWS and Databricks expertise.
• Experience with Databricks development, ETL/ELT pipelines and large-scale data processing.
• Experience across BI tools (Power BI) is a plus.

Responsibilities

• Deliver scalable, end-to-end data solutions.
• Collaborate with Architects, BI and Data Science teams.
• Develop and optimize ETL/ELT pipelines.
• Implement data modeling using star and snowflake schemas.

Skills

Databricks Development

Data Engineering

Spark PySpark

Spark SQL

Python & Scala

Delta Lake ACID

Schema Evolution

Batch & Near Real-Time Pipelines

ETL ELT

Data Modeling Star Snowflake

AWS Storage

Power BI

Coding Standards

Databricks CI/CD

Git

MLflow

Tools

Databricks CI/CD

Git

MLflow

Job description

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.

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.