Informacje o stanowisku

We are excited to offer you the position of  Technical Leader for Data Products and Data Pipeline Solutions . In this role, you will provide technical leadership in designing, developing, and deploying data products and pipeline solutions using  AWS and  Snowflake platforms for our Raw Materials Data Products.

We look forward to welcoming you to our team! Your expertise will be invaluable in driving our data initiatives forward.

We offer:

• 100% Remote job
• Free private medical insurance OR  Medicover Sport Membership
• Ready to have you on a team ASAP! 
• Long-term cooperation

Responsibilities:

• Lead the architecture and design of data products on the  AWS platform, ensuring scalability, security, and performance.
• Mentor a team of data engineers and scientists, fostering a collaborative work environment.
• Collaborate with product managers and stakeholders to align technical solutions with business objectives.
• Drive the technical roadmap for data product development on  AWS , adhering to best practices.
• Oversee quality assurance processes, including code reviews and testing.
• Communicate complex technical concepts effectively to non-technical stakeholders.

We are looking for:

• Proven experience in technical leadership focused on data products and pipelines on the  AWS platform.
• In-depth knowledge of  AWS services such as  Lambda ,  Fargate ,  EC2 ,  S3 ,  AWS Glue ,  Athena ,  Step Functions ,  Event Bridge , and  SQS .
• Strong understanding of data architecture, modeling, and ETL processes in  AWS and  Snowflake environments.
• Excellent communication skills for effective collaboration across teams.
• Proficient in optimizing data pipelines for performance and troubleshooting data-related issues.
• Knowledge of  SQL for querying data and experience in  Python development.
• Familiarity with DevOps tools like  GitLab CI/CD and  AWS CDK ; experience with  Snowflake (warehouses,  dbt , vault) is essential, with familiarity in  Liquibase as a plus.

Don't hesitate and apply now!

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