Senior AWS Data Engineer

🟣 You will be:

• responsible for at-scale infrastructure design, build and deployment with a focus on distributed systems,
• building and maintaining architecture patterns for data processing, workflow definitions, and system to system integrations using Big Data and Cloud technologies,
• evaluating and translating technical design to workable technical solutions/code and technical specifications at par with industry standards,
• driving creation of re-usable artifacts,
• establishing scalable, efficient, automated processes for data analysis, data model development, validation, and implementation,
• working closely with analysts/data scientists to understand impact to the downstream data models,
• writing efficient and well-organized software to ship products in an iterative, continual release environment,
• contributing and promoting good software engineering practices across the team,
• communicating clearly and effectively to technical and non-technical audiences,
• defining data retention policies,
• monitoring performance and advising any necessary infrastructure changes.

🟣 Your profile:

• available to start immediately,
• readiness to work with the US Timezone (up to 9 PM CET),
• 5+ years’ experience as a data engineer,
• 2+ years' experience with AWS,
• Strong SQL skills,
• Python scripting proficiency,
• hands-on experience in building data processing pipelines,
• experience in structuring and modelling data in both relational and non-relational forms,
• strong expertise in cloud data platforms/warehouses like Databricks or Snowflake,
• extensive experience in big data engineering on a terabyte scale, including streaming technologies and near-real-time processing,
• experience working with VCS like Git,
• excellent command of oral and written English,
• ability to work with different stakeholders and drive consensus within the team
• good verbal and written communication skills in English,
• work from the European Union region and a work permit are required.

🟣 Nice to have:

• proficiency in designing and implementing ETL/ELT processes and data integration workflows using tools like Apache Airflow, AWS Glue,
• understanding of big data and DevOps technologies (Kafka, Spark, Helm, Terraform),
• experience in CI/CD for the data environment,
• experience in testing for data processing,
• ML models operationalization (e.g., in Docker, Kubernetes).

🟣 Recruitment Process:

CV review – HR call – Interview – Client Interview – Decision

🎁 Benefits 🎁

✍ Development:

• development budgets of up to 6,800 PLN,
• we fund certifications e.g.: AWS, Azure,
• access to Udemy, O'Reilly (formerly Safari Books Online) and more,
• events and technology conferences,
• technology Guilds,
• internal training,
• Xebia Upskill.

🩺 We take care of your health:

• private medical healthcare,
• multiSport card - we subsidise a MultiSport card,
• mental Health Support.

🤸‍♂️ We are flexible:

• B2B or employment contract,
• contract for an indefinite period.