AWS Data Engineer

Experience - 5+ years

Role/JD:

• Develop and optimize data pipelines using AWS Glue and Lambda functions.
• Utilize Python to build reusable modules, APIs (Fast API/Flask/Django), and automation scripts.
• Lead project teams in designing end-to-end data pipelines and ETL workflows.
• Troubleshoot data processing issues and optimize performance for ETL workflows. Experiences:
• Experienced in working with Python projects for Data Processing, Data Transformation, and building reusable and modular components. Experience in Data Migration is a plus.
• Experienced in both classical Python development as well as in Python Notebooks.
• Experienced in AWS components such as S3, Glue, Lambda, and Kinesis (KDS)
• Experienced with DevOps and Infrastructure oversight.

Required Qualifications:

• 5+ years of experience in Data Engineering with a focus on cloud-based solutions.
• Strong expertise in AWS services like S3, Glue, Lambda, and IAM configurations.
• Bachelor’s degree in Computer Science, Information Technology, or related fields.

Soft Skills:

- Excellent problem-solving skills with a collaborative mindset.

- Strong leadership and communication skills for working with cross-functional teams.

- Ability to manage multiple tasks, prioritize effectively, and deliver high-quality results."