Job Location: Bangalore
Global data analytics delivers internal apps to grow revenue and optimize costs across Maersk’s Transport & Logistics companies. We practice agile development in teams empowered to deliver products end-to-end, for which data and analytics are crucial assets. This is an extremely exciting time to join a fast paced, growing and dynamic team that solves some of the toughest problems in the industry and builds the future of trade & logistics. We are an open-minded, friendly and supportive group who strive for excellence together
A.P. Moller – Maersk maintains a strong focus on career development, and strong team members regularly have broad possibilities to expand their skill set and impact in an environment characterized by change and continuous progress
You should be comfortable in the challenge in working with large and complex data ecosystems and understand the end-to-end process from data sourcing to exposing the data to the end user as self-service analytics, dashboard or bespoke application. You will be working directly with product managers, data scientists and developers to ship products, and you will need to be as excited about reaching across into adjacent domains as they are about curating and parsing the business meaning of data
Your responsibilities will be to:
- Represent the data engineering function within the context of your product team, providing accurate technical choices and communication around our data and analytical needs
- Provide contributions to the technological foundation upon which Maersk’s next generation of digital products will be built
- Deliver work within a high-impact team while fostering a collaborative and inclusive environment
- More than 2 years of industry data engineering experience, ideally in an analytics intensive environment
- You possess a bachelor’s degree in computer science (or equivalent experience). The ideal person will possess an advanced degree with a focus on distributed systems or cloud technologies
- Excellent track record of delivering data solutions using Spark technologies (Databricks, SparkSQL, PySpark)
- Experience leveraging PaaS & IaaS technologies in cloud platforms (Azure , AWS, GCP,)
- Data science experience in building regression models, using classification techniques and conducting driver analyses is an advantage
- Fluent proficiency in both written and oral English
Data Engineer
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