OBS! Ansökningsperioden för denna annonsen har
passerat.
Arbetsbeskrivning
Do you want to be part of a global organisation leading the development of the
Volvo Group’s connected services and solutions? For us “connected for efficiency, sustainability and safety” is much more than a tag-line. If this sounds interesting to you, keep on reading!
At Volvo Group Connected Solutions we work at the forefront of connectivity with data from over
1 000 000 Volvo Group customer assets. Together with customers, partners and the Volvo Group we create real value, not only for our customers but also for society at large.
This is us, your new colleagues
As you can imagine, keeping track of over 1 000 000 plus connected customer assets rolling around the world is indeed a challenge. Now ponder, that vehicles in a few years will be autonomous – and you’ve got the challenge of your life. Our Technology team manages the development and maintenance of our global connectivity platform – and your experience is needed.
We are now looking for a Senior Data Engineer within Data Management Group. Here you will be an integral part of the team focused on managing and delivering data centric services to VGCS and other stakeholders.
Key Responsibilities
Developing and maintaining Data Lake services.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
Creates and manages environments for advanced analytics/machine/deep learning and AI
Leverages best practices in continuous integration and delivery
Pre-process, clean and structures data to facilitate data exploration and advanced analytics/Machine Learning activities
Learns and uses modern data preparation, integration and AI-enabled metadata management tools and techniques.
Assemble large, complex data sets that meet functional / non-functional business requirements.
Performs intelligent sampling and caching.
Recommends and implements automation in existing and future integration flows.
Helps improving data quality by driving advancements in data acquisition, testing and tooling
Ensuring a solid operation and maintenance of our platform
Automation of system installation and configuration
Contributing to Roadmap and other improvements
Providing Runtime support for services
Competence Profile & Qualifications
We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
They should also have experience using the following software/tools:
Experience with big data tools: Hadoop, Spark, Kafka, etc.
Experience with relational SQL and NoSQL databases, including Postgres and MongoDB.
Experience with data pipeline and workflow management tools: Step Function, Airflow, etc.
Experience with AWS cloud services: EC2, EMR, RDS, Redshift, AWS lambda
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Strong analytic skills related to working with unstructured datasets.
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
A successful history of manipulating, processing and extracting value from large, disconnected datasets.
Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
Experience supporting and working with cross-functional teams in a dynamic environment.
Good-to-have experience
Microservice architecture
24/7 Service delivery environment
Experience from the Connected Vehicle Industry is a plus.
Candidate should have a valid work permit.
What can we offer you?
You will be part of a team that creates great results through amazing people, strong relationships and a high performance culture. We are of course using the latest technologies delivering a very modern micro service based service platform hosted in the cloud. We use agile methods and as we are adopting the DevOps model your work will cover a broad spectrum, all the way from developing prototypes of future world class applications to managing the lifecycle of the existing ones.
Our main hub and headquarter is in Lindholmen Science Park in Gothenburg, a vibrant area that lives and breathes new technology like IoT, autonomous driving, electro mobility and digitalization.
Welcome to the heart of connectivity at Volvo Group Connected Solutions!
Want to know more? Contact us!
Please contact Sanjeev Singh , Manager Data Management & Data Lake Services , +46 703 9021237
Kindly note that due to GDPR, we will not accept applications via mail. Please use our career site.