Aws data engineer

Responsibilities:

• Design, develop, and maintain scalable data pipelines including complex algorithms
• Ensure data quality and integrity through robust validation processes
• Strong understanding of data integration and data modeling concepts
• Lead data integration projects and mentor junior engineers
• Collaborate with cross-functional teams to gather data requirements
• Collaborate with data scientists and analysts to optimize data flow and storage for advanced analytics
• Take ownership of the modules you work on, deliver on time and with quality, ensure software development best practices

What We’re Looking For:

• Bachelor’s degree in computer science, or a related field
• Strong analytical and problem-solving skills
• 7+ years of hands-on experience in ETL development, Data Engineering, or Advanced Analytics
• Proficiency in Python, with strong experience using libraries such as Pandas, Polars, and NumPy for data manipulation
• Good experience with cloud platforms, particularly AWS services including ECR, S3, EC2, Lambda, Step Functions, Batch, Glue and IAM
• Good understanding and practical use of SQL and NoSQL databases, along with data warehousing solutions
• Experience with Gitlab CI/CD or similar tools for continuous integration and deployment