채용
Benefits & Perks
•Learning Budget
•Learning
Required Skills
SQL
Python
Scala
Apache Spark
Azure
Data Modelling
Power BI
DevOps
CI/CD
Data Engineer
Are you an engineer comfortable working with a wide range of data technologies and platforms? Do you understand the day-to-day obstacles to effective data science and software development work? This is an opportunity to join Maersk's Global data analytics as a data engineer and drive digital transformation at a globally respected, industry leading brand
We offer:
- Maersk, the world's largest shipping company, is transforming into an industrial digital giant that enables global trade with its land, sea and port assets. We are the digital and software development organization that builds products in the areas of predictive science (forecasting, customer and market analytics), optimization and IoT. This position offers the opportunity to build your engineering career in a data and analytics intensive environment, delivering work that has direct and significant impact on the success of our company. 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
Job location: Bangalore, India
Key Responsibilities:
As a Data Engineer, you will embed directly into product delivery teams, exerting direction on development and technical execution. The products we build directly impact our business, and with strong support from your fellow team members, together you will drive digital transformation at one of the largest companies in the world. You should be comfortable in working across wide range of data technologies and platforms (Hadoop, Map Reduce, Spark, SQL and NoSQL, job orchestration tools, cloud tech, programming in scala and python is a strong plus), and understand the challenges in working with large and complex data ecosystems. 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
Who are we looking for:
- More than 4+ years of industry data engineering experience, ideally in an analytics intensive environment.
- You possess a bachelor’s degree in computer science (or equivalent experience).
- You have deep experience leveraging PaaS & IaaS technologies in cloud platforms, preferably Azure. Excellent track record of delivery through data technologies (SQL, Spark) and languages like Python/Scala.
- Extensive experience in using BI tools (Power BI/AAS) and Big data solutions on MS Azure cloud (Spark / Py Spark / Spark SQL / Scala) and Data lake architecture.
- Minimum 2+ years of working experience in MS Azure PaaS Services
- Data Bricks, Data Factory, Airflow, Analysis Services, SSIS & SQL Endpoint
- Exceptional in data analysis & data modelling.
- Exposure to MSBI on cloud and Azure analysis services
- Hands on experience with DevOps - building CI/CD pipelines and code deployments.
- Hands on experience in Agile software development. Must be able to work in a collaborative fashion with scrum team.
- Optimize Multidimensional and Tabular cubes for performance, scalability, and query efficiency
- Collaborate with business stakeholders, analysts, and downstream consumers to understand reporting and analytics requirements
- Fluent proficiency in both written and oral English.
Good to Have:
· Having with basic data science experience in building regression models, using classification techniques and conducting driver analyses.
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.
We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.
Data Engineer
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About Maersk

Maersk
PublicA.P. Møller – Mærsk A/S, usually known simply as Maersk, is a Danish shipping and logistics company founded in 1904 by Arnold Peter Møller and his father Peter Mærsk Møller.
10,001+
Employees
Copenhagen
Headquarters
$30B
Valuation
Reviews
3.5
10 reviews
Work Life Balance
3.8
Compensation
3.2
Culture
3.5
Career
2.8
Management
3.3
68%
Recommend to a Friend
Pros
Great place to learn and grow
Good work-life balance and flexibility
Amazing benefits and opportunities
Cons
Limited career advancement and growth
Management and micromanagement issues
Frequent company restructuring
Salary Ranges
38 data points
Mid/L4
Mid/L4 · Business Intelligence Engineer
1 reports
$184,600
total / year
Base
$142,000
Stock
-
Bonus
-
$184,600
$184,600
Interview Experience
44 interviews
Difficulty
3.4
/ 5
Duration
14-28 weeks
Offer Rate
34%
Experience
Positive 63%
Neutral 25%
Negative 12%
Interview Process
1
Phone Screen
2
Technical Interview
3
Hiring Manager
4
Team Fit
Common Questions
Technical skills
Past experience
Team collaboration
Problem solving
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