Senior Technical Lead

Job Description (Posting).

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 re 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

GCP Data Engineer

Proficiency in Google BigQuery : In-depth knowledge of BigQuery features, functions, and best practices for data storage, querying, and analysis.

Strong SQL Skills : Expert level proficiency in writing complex and optimized SQL queries.

GCP Experience : Hands-on experience with other relevant GCP services e.g., Cloud Storage, Dataflow, Cloud Functions, Pub Sub, Composer.

Programming Skills : Experience with scripting languages like Python for data manipulation, automation, and API interactions.

Data Warehousing Concepts : Solid understanding of data warehousing principles, dimensional modeling, and data architecture.

Problem-Solving and Analytical Skills : Ability to analyze complex data problems and design effective solutions.

Communication Skills : Effective communication and collaboration skills to work with diverse teams.