Generative AI Engineer

Job Title: GenAI Developer – Azure Databricks | PySpark | ETL | SQL

Experience: 8–10 Years

Location: Whitefield, Bangalore

Work Mode: Hybrid (3 Days Work From Office)

Client: Mercedes-Benz

Employment Type: Full-Time

Job Summary

We are looking for an experienced GenAI Developer with strong expertise in Azure Databricks, ETL development, PySpark, and SQL to design, develop, and optimize scalable data and AI-driven solutions. The ideal candidate should have hands-on experience in building enterprise-grade data pipelines and implementing Generative AI use cases on Azure platforms.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using Azure Databricks and PySpark.
• Develop and optimize data processing workflows for large-scale structured and unstructured datasets.
• Build and implement Generative AI solutions leveraging Azure services and modern AI frameworks.
• Develop efficient data transformation logic using PySpark and SQL.
• Create and optimize data models to support analytics and AI workloads.
• Integrate multiple data sources into Azure Databricks environments.
• Ensure data quality, validation, monitoring, and performance optimization across data pipelines.
• Collaborate with business stakeholders, data engineers, and AI teams to understand business requirements and translate them into technical solutions.
• Troubleshoot production issues, optimize existing pipelines, and improve overall platform performance.
• Prepare technical documentation, solution designs, and deployment documentation.
• Participate in Agile ceremonies including sprint planning, estimation, development, testing, and deployment.

Required Skills

• 8–10 years of overall IT experience.
• Strong hands-on experience with Azure Databricks.
• Expertise in PySpark development.
• Strong knowledge of ETL/ELT concepts and implementation.
• Excellent SQL programming and query optimization skills.
• Experience in building and maintaining enterprise-scale data pipelines.
• Hands-on experience in Generative AI (GenAI) development and implementation.
• Strong understanding of data engineering concepts and data transformation techniques.
• Experience working with Azure cloud services.
• Good understanding of data modeling and data warehousing concepts.
• Excellent analytical, problem-solving, and communication skills.
• Experience working in Agile development environments.

Preferred Skills

• Experience with Azure AI Services or Azure OpenAI.
• Exposure to Machine Learning and Large Language Models (LLMs).
• Experience with Git and CI/CD pipelines.
• Knowledge of Delta Lake architecture.
• Familiarity with data governance and security best practices.

Interview Process

• Round 1: Virtual Technical Interview
• Round 2: Face-to-Face Technical Discussion

Compensation

CTC: ₹18 LPA – ₹24 LPA