Key Responsibilities

- Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.

- Build and optimize data solutions using Databricks on AWS Cloud.

- Develop and manage data ingestion, transformation, and integration processes for structured and unstructured data.

- Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality data solutions.

- Optimize data processing jobs for performance, scalability, and cost efficiency.

- Implement data quality checks, monitoring, troubleshooting, and performance tuning.

- Utilize GitHub Copilot and AI coding assistants to improve development productivity and code quality.

- Leverage Claude and GPT/LLM technologies to support data engineering use cases, automation, and intelligent workflows.

- Follow DevOps and CI/CD best practices for deployment and maintenance of data pipelines.

- Ensure adherence to data governance, security, and cloud best practices.

Mandatory Skills





- 36 years of hands-on experience in Data Engineering.

- Strong experience with Databricks.

- Hands-on experience with AWS Cloud services.

- Strong proficiency in Python and SQL.

- Experience in designing and building scalable data pipelines.

- Hands-on experience with GitHub Copilot.

- Working knowledge of Claude AI, GPT, or other Large Language Models (LLMs) and their practical applications.

- Good understanding of distributed data processing frameworks and up-to-date data architectures.

- Experience with version control systems such as Git.

Preferred Candidate Profile

- Hands-on experience in developing data pipelines on cloud platforms.

- Familiarity with AI-assisted development tools and LLM-powered workflows.

- Strong analytical and problem-solving skills.

- Excellent communication and stakeholder management skills.

📌 Data Engineer (Gurugram)
🏢 Infinites Hr Services Pune
📍 Gurugram