Senior Data Engineer (cloud&ai)

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.