Role: Lead Data Engineer Skills: AWS S3, GLUE, Lambda, Python, Pyspark, Kinesis, DevOps Location: Frankfurt, Germany (Remote) Type : Permanent Language Requirement: Must be atleast B2 German Level and Fluent English Speaker Hiring for Lead Data Engineer with AWS S3, GLUE, Lambda, Python, Pyspark, Kinesis, DevOps Responsibilities: 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. Develop and optimize data pipelines using AWS Glue and Lambda functions. Utilize Python to build reusable modules, APIs (Fast API/Flask/Djanog), 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. 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. Bachelor’s degree in computer science, Information Technology, or related fields.