Senior Data Engineer

About HCLTech

HCLTech is a global technology company, spread 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. We are powered by our people a global, diverse, multi-generational talent - representing 161 nationalities whose unique spark, perspective and boundless passion drive our culture of proactive value creation and problem-solving.

Our purpose is to bring together the best of technology and our people to supercharge progress for everyone, everywhere our clients, partners, their stakeholders, communities, and the planet. As a company, we are deeply focused on accelerating our ESG agenda. We are also creating technology-enabled sustainable solutions with and for our clients and partners. We embed ESG imperatives into every aspect of our business and ensure that the progress we supercharge is responsible, inclusive and beneficial to all our stakeholders in the long term. We have committed to achieving net zero by 2040.

To learn more about how we can supercharge progress for you, visit www.hcltech.com

We are looking for a highly skilled Senior Data Engineer with 5-7 years of experience to join our dynamic team. This role involves designing and implementing robust data solutions, optimizing system performance, and ensuring data quality across cloud platforms.

Key Responsibilities:

• Architect and develop scalable data pipelines using Python, DBT, and other tools
• Design and maintain data warehouses and models on GCP, Azure, and AWS
• Optimize database systems (BigQuery, PostgreSQL, Oracle, MS SQL) for performance
• Implement DevOps practices with Git, GitHub Actions, and CI/CD pipelines
• Manage Infrastructure as Code using Terraform and containerization with Docker
• Ensure data integrity, quality, and system integration
• Automate workflows and scripting to streamline operations

Qualifications:

• 5-7 years of experience in Data Engineering
• Extensive GCP experience (5-7 years)
• Working knowledge of Azure and AWS (1-3 years)
• Strong SQL expertise (BigQuery, Postgres - 5-7 years; Oracle, MS SQL - 1-3 years)
• Proven experience with data pipelines and ETL/ELT processes (5-7 years)
• Familiarity with DevOps tools and practices (1-3 years)
• Expertise in database performance tuning, system integration, and data validation

HCLTech is committed to protecting and securing the privacy and confidentiality of the Personal Data which it collects directly or indirectly from you when applying for a job at HCLTech either directly or through a third-party human resources agency. This notice (the “Notice”) outlines and explains how HCL Technologies Limited including its subsidiaries, local employing entities, associates, and affiliated companies [collectively referred to as “HCLTech”, “us,” “our”, or “we”] will process your Personal Data in accordance with applicable privacy legislation(s).