Data Engineer

Firma apreel powstała w kwietniu 2010 roku. W miarę rozwoju firmy i równolegle ze wzrostem poziomu zaufania klientów, jej działalność poszerzyła się o usługi Outsourcingu Specjalistów IT. Dziś to właśnie ten obszar stanowi główny filar działalności apreel.

• 5+ years working experience as a Data Engineer
• Expert in designing and developing robust Data Pipelines using technologies such as Apache Spark and Hadoop ecosystem
• Strong background in cloud infrastructure, especially AWS
• Hands-on experience with data lakes and modern data warehouses, including orchestration, security, and network
• Proven programming experience with Scala and Python
• Working knowledge of DBT (models, tests, documentation)
• General understanding of Tableau or similar BI tools
• Experience with relational databases, data warehouses, and advanced SQL queries
• Experience with CI/CD, bash scripting, and deployment/release best practices
• Practical experience with Docker and working knowledge of Kubernetes
• Collaborate with analysts and stakeholders to understand data requirements and provide efficient data solutions
• Contribute to development and maintenance of data governance and security practices
• Excellent written and verbal communication skills in English
• Solution-oriented with excellent attention to detail

Nice to have:

• Spark
• Hadoop

• Manage and scale BI data infrastructure by developing and maintaining data pipelines from ingestion through to storage
• Model data using solid data lake/warehouse concepts and optimize performance (partitioning, file formats, performance tuning)
• Champion standards, processes and best practices in the team
• Implement least-privilege IAM, encryption, data classification, PII handling, and auditability
• Contribute to data governance policies
• Conduct data analysis experiments and provide bespoke solutions to stakeholders
• Collaborate with analysts and domain stakeholders to translate requirements into robust data solutions
• Review code and mentor peers
• Bring previous experiences and ideas to introduce new tools, topics, and methodologies