AWS Data Engineer

Your Responsibilities:

• 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.

Must-have requirements:

Experiences:

• Experienced in working with Python projects for Data Processing, Data Transformation, building reusable and modular components. Experience in Data Migration is a plus.
• Experienced in both classical Python developments, 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:

• 5-8 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.

About the company:

With more than two decades of operation, Infoplus Technologies has grown into an internationally recognized staffing service provider because of its innovative technical savvy engineering teams. Through a clear vision and a customized plan, these teams provide cutting-edge staffing services to all IT companies including industry giants, mid-sized, and unicorns. We’ve been honored to have dedicated recruitment teams in various countries with complete end-end teams in UK, US, Germany, Netherlands, Belgium, Sweden, Germany, and India

Sounds interesting? Make sure to send your application documents to [email protected]