Associate Data Engineer
INBLR02 - Bangalore - Milesstone Buildcon
Maersk
Maersk is an integrated logistics company that offers supply chain solutions for managing shipments and cargo. Learn how to register, book and find prices.Maersk is a global leader in integrated logistics and have been industry pioneers for over a century. Through innovation and transformation, we are redefining the boundaries of possibility, continuously setting new standards for efficiency, sustainability, and excellence.
At Maersk, we believe in the power of diversity, collaboration, and continuous learning and we work hard to ensure that the people in our organization reflect and understand the customers we exist to serve.
With over 100,000 employees across 130 countries, we work together to shape the future of global trade and logistics.
Join us as we harness cutting-edge technologies and unlock opportunities on a global scale. Together, let's sail towards a brighter, more sustainable future with Maersk.
What We offer:
This is an exciting career opportunity in an international, challenging business setting known for diversity and being a high paced environment. You will get to focus on creating valuable relations with current and new customers and work with highly professional teams in an environment where you will be valued, recognized and well rewarded.
You will work with amazing and diverse colleagues with a deep sense of commitment to live Our Values and together, go all the way for our customers, society and for each other.
Role: Associate Data Engineer
Location: Bangalore
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 3+ years of industry data engineering experience, ideally in an Data Engineering 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, R, Java, Scala.
- Extensive experience in building Big data solutions on MS Azure cloud (Spark / PySpark / Spark SQL / Scala).
- Minimum 2+ years of working experience in MS Azure PaaS Services - Data Bricks, Data Factory, & Analysis Service.
- Exceptional in data analysis & data modelling.
- Hands-on experience in Agile software development. Must be able to work collaboratively with scrum team.
- Fluent proficiency in both written and oral English
- Experience in performance tuning of complex ETL mappings for relational and non-relational workloads
Good to Have
- Hands-on experience with DevOps - building CI/CD pipelines and code deployments.
- Hands-on experience using BI tools (Power BI/AAS)
- 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Azure Big Data CI/CD Classification Computer Science Data analysis Databricks DevOps Engineering ETL Hadoop Java Map Reduce NoSQL Pipelines Power BI PySpark Python R Scala Scrum Spark SQL
Perks/benefits: Career development Medical leave Parental leave
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