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Data Engineer (Senior)

team.blue

Overview

As a Senior Data Engineer in Central Data Platform, you build and govern a scalable data ecosystem that delivers a 360-degree view of customers across 60+ brands. You will design high-value data products and data architectures that serve BI, operations, and AI initiatives. This is a cross-brand role, enabling trustworthy data as the single source of truth. You’ll collaborate with Analytics, ML, and AI teams to drive measurable business value and transformative insights.

Responsabilità
  • Design and deliver scalable data products providing a unified source of truth across 60+ brands
  • Build and optimize ETL/ELT pipelines for large-scale structured and unstructured data
  • Lead secure, cost-efficient data architecture design and enforce best practices in modeling, orchestration, and observability
  • Implement data governance with lineage, metadata management, and quality controls for a reliable semantic layer
  • Collaborate with Analytics, ML, and AI teams to translate business needs into technical solutions
  • Tune data pipelines for peak performance focusing on indexing, query optimization, and schema evolution
  • Mentor junior engineers and foster a culture of technical excellence
Requisiti fondamentali
  • 7+ years in data engineering or data management
  • Advanced degree (Masters or PhD) in Computer Science, STEM, or related quantitative field
  • Proven track record deploying high-performance data solutions with measurable business value
  • Deep hands-on experience with Databricks (PySpark, Delta Lake, Unity Catalog) or equivalent table formats
  • Expert-level SQL with optimization and data modeling skills (Dimensional, Star Schema, Snowflake)
  • Proficiency in at least one cloud provider (AWS, Azure) and modern orchestration tools (Airflow, dbt)
  • Strong DevOps/Engineering skills (Docker, Kubernetes) and CI/CD with GitLab or GitHub
  • Experience with data versioning, schema evolution, and distributed metadata management
  • Strategic thinking
  • Effective communication with non-technical stakeholders
  • Problem-solving under fast-paced, multi-workstream environments
  • Databricks (PySpark, Delta Lake, Unity Catalog)
  • Advanced SQL and data modeling (Dimensional, Star Schema, Snowflake)
  • Cloud platforms (AWS, Azure)
Offerta di lavoro pubblicata 1 giorno fa
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