AWS Databricks Developer

Tata Consultancy Services • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • Python • SQL • Azure Data Factory • 10 days ago
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Salary
≈ $18k – $36k per year (Estimated)
Location
In office (Pune)
Seniority
Senior · 6+ years exp
Employment
Full-Time

First seen by Alion on Oct 13, 2026.

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Tata Consultancy Services

Tata Consultancy Services (TCS) is a global leader in IT services, consulting, and digital business solutions operating as the flagship tech subsidiary of the Tata Group. Headquartered in Mumbai, India, the company delivers end-to-end capabilities spanning cloud computing, enterprise platforms, cybersecurity, and artificial intelligence to major global enterprises. Employing over 500,000 professionals across dozens of countries, it stands as one of the world's largest IT outsourcing and technology transformation partners.
tcs.com • HQ: Mumbai, India • Management Consulting • Systems Integrators • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • Est. 1968
Tech stack of Tata Consultancy Services

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

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