Lead Data Engineer

About the Position

We are seeking a Lead Data Engineer with 8+ years of experience to join our team in Chennai. You will be responsible for building scalable data pipelines using Python, SQL, Snowflake, Azure Data Factory, and Microsoft Fabric, with expertise in AI and analytics.

Responsibilities

• Design and build scalable data pipelines to ingest, process, and manage structured, semi-structured, and unstructured data.
• Develop and maintain data engineering solutions using Python, SQL, and modern cloud data platforms.
• Implement data quality frameworks, data observability, metadata management, and data governance standards.
• Collaborate with cross-functional teams to leverage Generative AI, Large Language Models, and AI-powered analytics solutions.
• Utilize data visualization and analytics tools such as Power BI, Tableau, and Python visualization libraries.
• Ensure compliance with data security, privacy, and Responsible AI governance in regulated environments.

Requirements

• 8+ years of experience in Data Engineering, Analytics Engineering, Data Platforms, or related data & AI roles.
• Strong proficiency in Python for data engineering, automation, API integration, data transformation, and AI/ML solution development.
• Hands-on experience with Snowflake, Azure Data Factory, Microsoft Fabric, Advanced Analytics, Tableau, or equivalent technologies.
• Advanced SQL skills and experience working with relational databases such as SQL Server and cloud-native data warehouses.
• Experience with DevOps, CI/CD, Infrastructure as Code (IaC), Git-based development workflows, and Agile/Scrum methodologies.
• Proficiency with collaboration and project management tools including Jira, Confluence, SharePoint, GitHub/GitLab, and Azure DevOps.
• Strong analytical thinking and innovative problem-solving skills with the ability to leverage AI-assisted development tools to accelerate delivery and improve productivity.
• Proven ability to rapidly learn and adopt emerging technologies in the evolving Data, Analytics, and AI landscape.
• Demonstrates a Team-First mindset, fostering collaboration and contributing to the maturity of enterprise Data, Analytics, and AI platforms.

Nice to Have

• Experience in Financial Services, Banking, Credit Union, FinTech, or related regulated industries.
• Knowledge of data security, privacy, compliance, and Responsible AI governance within regulated environments.

We Offer

• Competitive salary
• Opportunity to work in a dynamic and innovative environment
• Professional development opportunities

About the Company

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