A.P. Moller - Maersk

Senior Data Engineer

A.P. Moller - Maersk

full-time

Posted on:

Location Type: Hybrid

Location: Bengaluru • 🇮🇳 India

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Job Level

Senior

Tech Stack

AWSAzureCloudDistributed SystemsGoogle Cloud PlatformGrafanaKafkaKubernetesPrometheusSparkTerraform

About the role

  • Design and build foundational platform components for data ingestion, transformation, metadata, and lineage
  • Develop reusable, cloud-native infrastructure and tooling across AWS, Azure, and on-prem environments
  • Work across streaming (Kafka, Flink) and batch (Spark, SQLMesh, dbt) systems to support diverse data processing needs
  • Enable open table formats (Iceberg, Delta Lake, Hudi) as first-class citizens of the platform
  • Contribute to platform observability (e.g., Prometheus, Grafana), lineage (OpenLineage), and data quality tooling (Great Expectations)
  • Implement GitOps-driven CI/CD pipelines, Terraform modules, and containerized deployments
  • Partner with AI/ML, metadata, and governance teams to drive consistency, automation, and platform-wide operability

Requirements

  • Strong engineering background in data infrastructure, platform engineering, or distributed systems
  • Deep hands-on experience with open-source data tooling and frameworks (Kafka, Spark, Flink, Iceberg, dbt, SQLMesh, etc.)
  • Proficiency with cloud-native services on AWS, Azure, or GCP—especially around data storage, compute, and orchestration
  • Infrastructure-as-code mindset (Terraform, GitHub Actions, GitOps) and familiarity with container ecosystems (Kubernetes preferred)
  • Comfort working on modular, multi-tenant systems that enable self-service, observability, and scalability by design
  • Clear thinking around data architecture principles like data mesh, decentralized ownership, and federated governance.
Benefits
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data ingestiondata transformationmetadata managementdata lineagecloud-native infrastructurestreaming systemsbatch processingopen table formatsCI/CD pipelinesinfrastructure-as-code
Soft skills
engineering backgroundclear thinkingcollaborationautomationconsistencyobservabilityscalabilitymodular designself-servicefederated governance