Data Engineer

Maersk

Multiple Locations
**
Python (pyspark) & sql proficiency
Aws services understanding
Data pipeline optimization
** Maersk is seeking a Data Engineer to contribute to their innovative data and AI initiatives that enhance global logistics through operational data transformation. The role requires strong proficiency in Python and SQL, along with experience in AWS services, to design and optimize data pipelines for real-time insights. **

Job Summary

  • Design and maintain ingestion frameworks for high-volume, structured and unstructured data, supporting streaming and batch use cases.
  • Develop transformation logic using SQL, Python, Spark, and modern declarative tools like dbt or sqlmesh, handling complex data scenarios.
  • Instrument pipelines with quality checks, cost visibility, and lineage hooks, integrating with tools like OpenMetadata, Prometheus, or OpenLineage.

Matching Summary

Match Score: 75

** Maersk is seeking a Data Engineer to contribute to their innovative data and AI initiatives that enhance global logistics through operational data transformation. The role requires strong proficiency in Python and SQL, along with experience in AWS services, to design and optimize data pipelines for real-time insights. **

Skills & Requirements

Must-have

  • Python (PySpark) & SQL proficiency
  • AWS services understanding
  • Data pipeline optimization
  • Platform Engineering interest
  • Lakehouse architecture
  • Delta Lake, S3, Glue, EMR

Nice-to-have

  • Containerization & Orchestration (Docker, Kubernetes)
  • Cloud Migration / Multi-cloud experience
  • AI/ML concepts exposure
  • Infrastructure as Code (IaC)
  • Observability tools (Grafana, Prometheus)

Key Requirements

  • Python (PySpark) & SQL
  • AWS
  • Data Fundamentals & Data Pipeline Optimization
  • Interest in Platform Engineering

Work Rights

Not specified

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