Job Overview
Maersk is actively hiring for the role of Associate Data Engineer. This is a high-growth opportunity for B.E/B.Tech/B.Sc/M.E/M.Tech/M.Sc graduates (Freshers and Experienced) to join a global logistics leader in Pune. If you have a strong foundation in Data Engineering, Python, SQL, and Cloud Platforms, check the details below and apply immediately.
Job Description for Maersk Recruitment 2026
For the Maersk Recruitment 2026 drive, the company is seeking a highly skilled Associate Data Engineer with deep expertise in ML Ops practices and Cloud Platforms. You will play a key role in designing, building, and optimizing scalable data infrastructure.
The role involves enabling efficient data flows across the organization and supporting machine learning initiatives. You will implement robust data models and partner with ML engineering teams to establish operational pipelines.
Roles and Responsibilities
As an Associate Data Engineer at Maersk, your key responsibilities will include:
- Pipeline Design: Designing, developing, and maintaining scalable ETL/ELT processes for structured and unstructured data.
- Data Infrastructure: Implementing robust data models, data lakes, and data warehouses (Data Warehousing).
- Collaboration: Collaborating with software engineers and data scientists to deliver production-ready solutions.
- Operational Excellence: Driving automation, monitoring, and alerting for data systems using SRE principles.
- ML Ops: Partnering with ML teams to establish pipelines for model deployment and scalability (MLflow, Kubeflow).
- Optimization: Optimizing cloud-based data platforms (AWS, Azure, GCP) for cost and security.
Skills and Eligibility Criteria
To be eligible for Maersk Recruitment 2026, candidates must meet the following criteria:
- Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related fields.
- Programming Skills: Strong coding skills in Python and SQL, plus one additional language (Scala/Java preferred).
- Cloud Proficiency: Experience with AWS, Azure, or GCP and tools like BigQuery, Redshift, or Snowflake.
- Data Concepts: Strong foundation in batch/streaming (Kafka, Spark, Flink) and data modeling.
- Orchestration: Hands-on expertise with frameworks like Airflow, Prefect, or Dagster.
- DevOps/MLOps: Familiarity with CI/CD, Docker, Kubernetes, and ML frameworks (Vertex AI, Azure ML).
Selection Process
The selection process for Maersk typically includes:
- Resume Screening: Shortlisting based on Cloud and Data Engineering skills.
- Online Coding Test: Python/SQL coding challenges and Data Structures.
- Technical Interview 1: Deep dive into ETL pipelines, Cloud architecture, and SQL logic.
- Technical Interview 2: System Design (Dat...