AWS Senior Data Engineer - Glue, SQL, Python
About this role
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.
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.
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.
Other Requirements
1.Relevant certifications in AWS, Python, SQL, or DevOps are a plus.
Frequently Asked Questions
Is the salary disclosed for the AWS Senior Data Engineer - Glue, SQL, Python position at HCLTech?
The salary for this AWS Senior Data Engineer - Glue, SQL, Python role at HCLTech is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the AWS Senior Data Engineer - Glue, SQL, Python position at HCLTech located?
This AWS Senior Data Engineer - Glue, SQL, Python role at HCLTech is based in Chennai, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
How do I apply for the AWS Senior Data Engineer - Glue, SQL, Python position at HCLTech?
Click the "Apply Now" button on this page. You will be redirected to HCLTech's official application portal hosted on successfactors where you can submit your application directly.
When was the AWS Senior Data Engineer - Glue, SQL, Python job at HCLTech posted?
This AWS Senior Data Engineer - Glue, SQL, Python position at HCLTech was posted on Aug 4, 2026. Apply as soon as possible — early applications are often reviewed first.
AWS Senior Data Engineer - Glue, SQL, Python
HCLTech
You'll be redirected to HCLTech's official application page on successfactors.