AWS Databricks Developer

Hiring: AWS Databricks Developer | ADF | PySpark | Python | Terraform

Location: Indore / Pune / Hyderabad

Experience: 6-9 Years

Notice Period: Up to 90 Days

We are looking for a highly skilled AWS Databricks Developer with strong expertise in Azure Data Factory (ADF), PySpark, Python, and Terraform to join our growing data engineering team. The ideal candidate will have hands-on experience building scalable data pipelines, cloud-native data platforms, and infrastructure automation solutions.

Key Responsibilities:

Design, develop, and optimize data pipelines using Databricks, PySpark, and Python

Build and maintain data ingestion and transformation workflows using ADF

Work with large-scale datasets in cloud-based data lake and warehouse environments

Develop Infrastructure as Code (IaC) solutions using Terraform

Implement data quality, governance, security, and performance optimization practices

Collaborate with business stakeholders, architects, and cross-functional teams

Troubleshoot production issues and ensure high availability of data platforms

Required Skills:

AWS Cloud Services

Databricks

Azure Data Factory (ADF)

PySpark

Python

Terraform

SQL & Data Modeling

Data Lake / Data Warehouse Concepts

CI/CD and DevOps Practices

Version Control (Git)

Preferred Skills:

Delta Lake

Apache Spark Optimization

Airflow or Similar Workflow Orchestration Tools

Snowflake or Redshift Exposure

Agile/Scrum Methodologies

Qualification:

Bachelor's or Master's degree in Computer Science, Information Technology, or related field.

What We're Looking For:

Strong problem-solving and analytical skills

Excellent communication and stakeholder management abilities

Experience in enterprise-scale cloud data engineering projects