AWS DATABRICKS DATA ENGINEER

JobCubby; Pune District; On-site; INR 1,650,000 - 1,750,000; Full time

Job summary

JobCubby is seeking an experienced AWS Databricks Data Engineer to design and deliver scalable data solutions. You will lead Databricks development, build ETL/ELT pipelines, and drive large‑scale data processing with Spark, Python/Scala, and Delta Lake.

This PAN India role spans Pune, Kolkata, Hyderabad, Chennai, Noida, Warangal, Bangalore and Coimbatore, requires 8–12 years of experience, and offers a salary of ₹16.5–17.5 LPA with shift 11:30 AM–9:00 PM.

Qualifications

• Experience in AWS Databricks data engineering and ETL/ELT pipelines.
• Strong knowledge of Databricks development and large-scale data processing.
• Experience with Apache Spark, PySpark, Spark SQL.
• Data modelling with star and snowflake schemas.
• Experience with batch and near real-time pipelines.

Responsibilities

• Deliver scalable end-to-end data solutions.
• Collaborate with architects, BI and data science teams.
• Adhere to coding standards and data governance.

Skills

Databricks Dev

Spark (PySpark)

Delta Lake

ETL Pipelines

Data Modelling

AWS Storage

Power BI

Coding Standards

Tools

Databricks

AWS

Power BI

Apache Spark

Job description

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 - 9:0 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.