Technical Lead

Job description

Design and develop data engineering pipelines and solutions on Snowflake, leveraging Python and SQL as the primary technology stack. Actively adopt and apply AI-assisted development tools (e.g., AltimateAI) in the data engineering lifecycle to improve development productivity, code quality, and turnaround time. Build and maintain scalable ETL/ELT pipelines, data models, and transformations, ensuring performance, reliability, and data quality. Extend beyond data engineering as needed to support other solution development work using Python and related supporting technologies. Work with the Azure tech stack where applicable, integrating Azure services into data and AI solutions as required by the project. Follow coding best practices, version control, and CI/CD processes to ensure maintainable and production-ready code. Stay current with emerging AI-assisted development tools and practices, proactively identifying opportunities to embed AI into the development workflow. Skill Requirements 5+ years of experience in software/data engineering or related fields. Strong hands-on experience with Snowflake for data warehousing, modeling, and pipeline development. Strong programming experience in Python for data engineering and solution development. Strong experience with SQL coding, query optimization, and data transformation. Hands-on experience with Data Vault 2.0 modeling methodology for building scalable, auditable data warehouse architectures. Hands-on experience with DBT (Data Build Tool) for data transformation, testing, and pipeline orchestration. Demonstrated ability and willingness to adopt AI tools (e.g., AltimateAI) in the development process to improve productivity. Demonstrated ability to quickly build AI solution through streamlit or any similar framework. Experience building and maintaining data pipelines, ETL/ELT processes, and data models in a cloud data warehouse environment. Solid understanding of coding best practices, version control (e.g., GitHub), and CI/CD concepts. Flexible and adaptable to work on other Python-based solution development beyond core data engineering tasks. Strong problem-solving skills with good communication and stakeholder management abilities. Other Requirements Apply now Information at a Glance Why HCLTech? At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first. HCLTech is a global technology company, home to more than 230,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2026 totaled $14.8 billion. Disclaimer Privacy Statement Terms of use Sitemap Raise a Grievance We use cookies on our site. Please read more about cookies policy here. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Copyright © 2026 HCL Technologies Limited Cookie Consent Manager When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. Because we respect your right to privacy, you can choose not to allow some types of cookies. However, blocking some types of cookies may impact your experience of the site and the services we are able to offer. 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