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 Engineer with Glue, SQL, Python

Job Summary
The Senior Developer is responsible for managing and developing solutions using Amazon Glue, SQL, Python, and DevOps practices. The role involves implementing, and maintaining data pipelines and ETL processes to support business objectives efficiently.

• Key Responsibilities
  1. Develop and maintain data transformation processes using amazon glue for etl workflows.
  2. Write complex sql queries to extract and analyze data from various databases and sources.
  3. Build scalable and efficient python scripts for data processing and automation tasks.
  4. Implement devops solutions to automate deployment, monitoring, and maintenance processes.
  5. Collaborate within team to design and implement data solutions that meet business requirements.
  6. Troubleshoot and optimize existing data pipelines for improved performance and reliability.
  7. Stay updated with the latest industry trends and technologies related to data engineering and software development.
  
  Skill Requirements
  1. Proficiency in amazon glue for etl workflows and data processing.
  2. Strong sql skills for querying, analyzing, and manipulating data.
  3. Advanced knowledge of python programming for scripting and automation.
  4. Experience with devops tools and practices for continuous integration and deployment.
  5. Understanding of data modeling, data warehousing, and data lake concepts.
  6. Good problem-solving and analytical abilities.
  7. Strong communication and team collaboration skills.
  
  Certifications: Relevant certifications in AWS, Python, SQL, or DevOps are a plus.