Informacje o stanowisku
Data Engineer – Cloud & AI Platforms
We’re looking for a Data Engineer to design and scale high-throughput data pipelines supporting advanced analytics and AI-driven products.
What You’ll Do
- Architect and maintain distributed data pipelines in Databricks and AWS (Glue, EMR, Fargate, Step Functions)
- Ingest and process large volumes of structured and unstructured data (internal, market, third-party, alternative sources)
- Collaborate with AI/ML and engineering teams to design scalable data architectures and APIs
- Optimize performance and cost using Spark and cloud-native best practices
- Implement data governance, privacy, lineage, and access controls
- Build automated validation, monitoring, and data quality frameworks
- Evaluate emerging GenAI and data tooling to enhance platform capabilities
What You Bring
- 3+ years of experience in data engineering
- Strong Python and experience with Spark or Scala
- Proven experience building distributed pipelines in cloud environments
- Solid understanding of data modeling, architecture, and warehousing principles
- Innovative problem-solving mindset
- Bachelor’s or Master’s degree in Computer Science or Engineering
Nice to have: Experience with graph databases.
Data Engineer – Cloud & AI Platforms
We’re looking for a Data Engineer to design and scale high-throughput data pipelines supporting advanced analytics and AI-driven products.
What You’ll Do
- Architect and maintain distributed data pipelines in Databricks and AWS (Glue, EMR, Fargate, Step Functions)
- Ingest and process large volumes of structured and unstructured data (internal, market, third-party, alternative sources)
- Collaborate with AI/ML and engineering teams to design scalable data architectures and APIs
- Optimize performance and cost using Spark and cloud-native best practices
- Implement data governance, privacy, lineage, and access controls
- Build automated validation, monitoring, and data quality frameworks
- Evaluate emerging GenAI and data tooling to enhance platform capabilities
What You Bring
- 3+ years of experience in data engineering
- Strong Python and experience with Spark or Scala
- Proven experience building distributed pipelines in cloud environments
- Solid understanding of data modeling, architecture, and warehousing principles
- Innovative problem-solving mindset
- Bachelor’s or Master’s degree in Computer Science or Engineering
Nice to have: Experience with graph databases.
Requirements: Python, AWS, Databricks, Spark, Scala
Praca WarszawaTechnolog WarszawaTechnolog żywności WarszawaWarszawa - Oferty pracy w okolicznych lokalizacjach
