Data Engineer

Summary

Join IT Labs as a Senior Data Engineer where you'll craft and execute technical vision for state-of-the-art AWS-based data pipelines, support new product developments, and ensure systems maintain optimal performance levels.

Requirements

• At least 5 years in a Data Engineering position
• Expert knowledge in .Python
• Proven experience with AWS technologies for building and managing data pipelines and performing ETL processes
• Proficient in using AWS warehousing and analysis tools like Redshift, Quicksight, and Athena
• Skilled in utilizing infrastructure-as-code practices, including CloudFormation, CDK, and Serverless frameworks
• Expertise in designing and reviewing complex Python programs, ensuring compliance with style and security standards
• Demonstrated ability to optimize SQL queries for maximum performance
• Hands-on experience with AWS RDS
• Ability to empathize with end-users to inform and guide decision-making processes
• Excellent analytical thinking and problem-solving capabilities
• Superior written and verbal communication skills
• Fluent English both spoken and written

Responsibilities

• Craft and execute a technical vision for state-of-the-art AWS-based data pipelines
• Support new product developments and data science initiatives while ensuring systems maintain optimal performance levels
• Spend around 50% of your time building and enhancing data lakes and data pipelines
• Spend about 20% on defining and implementing DataOps methodologies
• Spend roughly 20% of your time writing and optimizing queries and reports
• Spend around 10% of your time supporting and monitoring existing databases

Benefits

• Fully Remote
• Choose your contract: Individual or B2B contract
• Get your salary in USD