職務内容：

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 Lead with Google BigQuery,SQL,Python, Google dataflow

Job Summary
The Technical Lead will be responsible for providing leadership and technical expertise in Google BigQuery, SQL, Python, and Google Dataflow. The role will involve driving the design, development, and implementation of data solutions using these technologies to meet business requirements.

• Key Responsibilities
  1. Lead the technical team in the design and development of data solutions utilizing google bigquery, sql, python, and google dataflow.
  2. Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
  3. Monitor data quality, integrity, and security within the solutions implemented.
  4. Provide technical guidance and mentorship to junior team members.
  5. Stay updated on emerging trends and best practices in data engineering and analytics.
  
  Skill Requirements
  1. Proficiency in google bigquery for data warehousing and analytics.
  2. Strong sql skills for querying and managing large datasets.
  3. Advanced knowledge of python programming language for data manipulation and analysis.
  4. Experience with google dataflow for real-time data processing and etl pipelines.
  5. Strong problem-solving and analytical skills.
  6. Excellent communication and leadership abilities to effectively lead a technical team.
  
  Certifications: Google Cloud Professional Data Engineer certification is preferred.