Role: Data Engineer & AI Tech Lead

Experience: 6+ Years

Work Location: Remote

Shift: General Shift (IST)

Contract Duration: 6 Months (Possible Extension)

We are looking for an experienced and hands-on Data Engineer & AI Tech Lead to join an exciting project with a strategic energy-sector client based in Singapore.

The ideal candidate should have strong expertise in Azure Databricks, Microsoft Fabric, Python, PySpark, SQL, Data Engineering, and AI/ML, along with the ability to design scalable solutions, lead technical initiatives, and collaborate directly with client stakeholders.

Key Responsibilities:

- Design, develop, and maintain scalable enterprise data platforms using Azure Databricks and Microsoft Fabric.
- Build and optimize ETL/ELT pipelines for ingestion, transformation, and integration of data from multiple sources.
- Implement data lakehouse architectures, data warehousing solutions, and effective data models.
- Develop high-performance data processing solutions using Python, PySpark, and SQL.
- Establish data quality checks, monitoring, validation, and error-handling mechanisms.
- Optimize pipeline performance, query execution, resource utilization, and cloud costs.
- Implement data governance, security controls, and enterprise data management best practices.




- Design and implement AI-powered applications, predictive models, and intelligent automation solutions.
- Work with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI orchestration frameworks.
- Integrate AI/ML capabilities into enterprise data platforms and business applications.
- Develop proof of concepts and transform successful prototypes into production-ready solutions.
- Evaluate AI solutions for accuracy, performance, scalability, security, and business impact.

Required Technical Skills:

- Cloud Platforms: Microsoft Azure, Azure Databricks, Microsoft Fabric
- Programming: Python, PySpark, SQL
- Data Engineering: ETL/ELT, Data Pipelines, Data Integration, Data Lakehouse, Data Warehousing, Data Modelling
- AI/ML: Generative AI, LLMs, RAG, AI-powered Applications, Predictive Analytics
- Backend Development: REST APIs, Python-based Services, Software Integrations
- DevOps: Git, CI/CD, Automated Testing, Deployment Automation
- Architecture: Cloud-Native Solutions, Distributed Data Processing, Security, Data Governance
- Leadership: Technical Ownership, Solution Design, Stakeholder Management, Mentoring

📌 Data Engineer & AI Tech Lead - Contract (India)
🏢 Gravity Infosolutions
📍 India