AWS Senior Data Engineer - Glue, SQL, Python

Experience: Not Available to Not Available years

Location: Madurai, India

Skills: Amazon Glue, SQL, Python, DevOps, data modeling, data warehousing, data lake, problem-solving, analytical abilities, team collaboration

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
Develop and maintain data transformation processes using amazon glue for etl workflows.
Write complex sql queries to extract and analyze data from various databases and sources.
Build scalable and productive python scripts for data processing and automation tasks.
Implement devops solutions to automate deployment, monitoring, and maintenance processes.




Collaborate within team to design and implement data solutions that meet business requirements.
Troubleshoot and optimize existing data pipelines for improved performance and reliability.
Stay updated with the latest industry trends and technologies related to data engineering and software development.

Skill Requirements
Proficiency in amazon glue for etl workflows and data processing.
Robust sql skills for querying, analyzing, and manipulating data.
Advanced knowledge of python programming for scripting and automation.
Experience with devops tools and practices for continuous integration and deployment.
Understanding of data modeling, data warehousing, and data lake concepts.
Good problem-solving and analytical abilities.
Solid communication and team collaboration skills.

Other Requirements
Relevant certifications in AWS, Python, SQL, or DevOps are a plus.

📌 Aws Senior Data Engineer Glue, Sql, Python Madurai
🏢 HCL Technologies
📍 Madurai