AWS Senior Data Lead

Job description:

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

AWS Senior Data Lead with Glue, SQL, Python

Job Summary
The Senior Technical Lead will be responsible for overseeing and leading technical projects related to Amazon Glue, SQL, Python, DevOps Solutions, and Snowflake. The role involves ensuring the successful development, implementation, and integration of these technologies to meet business objectives and enhance overall technical capabilities.

• Key Responsibilities
  1. Provide technical leadership and guidance on projects involving amazon glue, sql, python, devops solutions, and snowflake.
  2. Design and develop robust solutions using amazon glue for data integration and etl processes.
  3. Utilize sql for database management and querying to support various data initiatives.
  4. Develop and maintain scalable python applications to automate processes and enhance data workflows.
  5. Implement and manage devops solutions to streamline deployment and ensure continuous integration and delivery.
  6. Work with snowflake to design and optimize data warehousing solutions for improved analytics and reporting.
  7. Collaborate with cross functional teams to drive technical innovation and best practices in line with business goals.
  
  Skill Requirements
  1. Proficiency in amazon glue for etl processes and data integration.
  2. Strong understanding of sql for database management and querying.
  3. Advanced knowledge of python programming for automation and application development.
  4. Experience with devops solutions for continuous integration and delivery.
  5. Familiarity with snowflake for data warehousing and analytics.
  6. Excellent problem-solving skills and ability to troubleshoot technical issues efficiently.
  7. Strong communication and leadership abilities to effectively lead technical teams and collaborate with stakeholders.
  
  Certifications: Relevant certifications in Amazon Glue, SQL, Python, DevOps Solutions, or Snowflake are a plus.