Associate Data Engineer

Associate Data Engineer

Maersk, the world’s largest shipping company responsible for moving 20 % of global trade, is on a mission to become the Global Integrator of Container Logistics. To achieve this, we are transforming into an industrial digital giant by combining our assets across air, land, ocean, and ports with our growing portfolio of digital assets to connect and simplify our customer’s supply chain through global end-to-end solutions, all the while rethinking the way we engage with customers and partners.

In this role as Associate Data engineer on the Global Data and Analytics (GDA) team, you will be working on our new strategic visibility initiative to develop recommendation solutions facing internal and external users. The overall objective is to develop actionable recommendations which enable unprecedented flexibility during supply chain execution and strategic planning and unlock new types of services for our internal users and our customers. Building on top of a best-in-industry visibility data foundation, you will be partnering with product managers and engineering teams to develop scalable solutions following industry best-practices. There is a lot of exciting challenges ahead of us, and the ideal candidate will have a passion for working on industry-transforming products and creating impact from the ground up in a fast-paced environment.

 You should have demonstrated ability to make sense out of large, integrated datasets, and build data pipelines to serve machine learning (ML) models. For this role it is crucial to have prior hands-on experience developing and deploying end to end data pipelines with feature engineering to production in collaboration with data engineering, software engineering, ML engineering teams.

Key Responsibilities

• We are seeking a strong Data Engineer with expertise in design and build scalable solutions using Spark, Python, Kafka, Delta, Docker, and K8s

• The ideal candidate should have an expertise in data architecture, system design, building and deploying data and ML pipelines using CICD

• Collaborate with data scientists and product owners to translate business problems and/or technical ML problems into scalable performant data pipelines.

 • Good problem-solving and troubleshooting skills.

Key Skills

• Deep technical knowledge and expert coding skills in python and pyspark

• Experience building data pipeline with Spark, Kafka, Structured streaming, etc.

• Develop, test, and deploy end-to-end data pipelines together with the team.

• Hands-on experience working with complex datasets (e.g. nested Jsons, sensor data,etc)

• Build data and feature engineering pipelines for train/test machine learning models.

• Ensure data quality and consistency through robust data validation and monitoring

• Strong analytical skills with expert level competency in SQL

 • Optimize and fine-tune Spark jobs for maximum efficiency and resource utilization.

 Qualifications

• Bachelor's degree in B.E/BTech, preferably in computer science

• 2+ years of years of relevant experience in the field of Data Engineering

 • 2+ years of hands-on experience with Apache Spark, Python and SQL

• Experience with collaborative development workflow: IDE (Integrated Development Environment), Version control(github), CI/CD (e.g. automated tests in github actions)

• Communicate effectively with technical and non-technical audiences with experience in stakeholder management

• A good team player

Preferred qualifications

• Experience working with large datasets and big data technologies to train and evaluate machine learning models.

 • Experience with containerization: Kubernetes & Docker

 • Expertise in building cloud native applications and data pipelines (Azure, Databricks, AWS, GCP) C

• Experience with common dashboarding and API technologies (PowerBI, Superset, Flask, FastAPI, etc

Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.

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