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.

Erforderliche Kompetenzen

Databricks Development & Data EngineeringApache Spark (PySpark, Spark SQL)PythonScalaDelta Lake (ACID, Schema Evolution & Optimization)ETL/ELT Pipeline DevelopmentBatch & Near Real-Time Data PipelinesData Modeling (Star & Snowflake Schema)AWS Cloud StorageCoding Standards & Data Engineering Best PracticesDesigning Scalable End-to-End Data Solutions (Data Architecture)Databricks CI/CD & GitMLflow / Model TrackingData Governance, Security & ComplianceCross-functional Collaboration with Architects, BI and Data Science Teams

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