Job
- Level
- Senior
- Job Field
- IT, Database, System
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Heilbronn, Ingolstadt
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you design tailored ETL and ELT processes in AWS for the Volkswagen Group, create data models, and ensure data quality for analytical applications.
Job Technologies
Your role in the team
- Do you implement tailored solutions for our clients in the Volkswagen Group related to data processing and provisioning in the AWS environment?
- Do you design sustainable, robust, and high-performance ETL and ELT pipelines for supplying analytics and machine learning applications.
- Do you ensure the traceability of data lineage in complex data transformations?
- Are you in close contact with the experts in your team and on the client side.
- Do you create technical, conceptual, and logical data models?
- Do you design and standardize data products that deliver real value to the customer?
- Are you always on the cutting edge and willing to continuously develop your skills in the areas of cloud computing and data architecture?
- Do you benefit from exceptional perks: company car, stock and pension schemes, 3 months of continued pay in case of illness, Jobrad, home office equipment, 8 days of training per year, accident insurance, free drinks, after-work events (e.g., laser tag, bowling), as well as public transport and childcare subsidies. Plus, you need strong wrists – there's always time for a game of foosball!
This text has been machine translated. Show original
Our expectations of you
Education
- You have a completed degree in (business) informatics, electrical engineering, or a similar field of study (or demonstrably equivalent qualification).
Qualifications
- Extensive understanding of database concepts and technologies, including relational databases and NoSQL databases.
- Knowledge in data modeling and optimization for analytical and machine learning applications.
- Knowledge in the implementation and management of data pipelines and workflows.
- Ability to analyze data issues and develop effective solutions.
- Excellent communication skills and the ability to convey technical information clearly.
- Good understanding of business processes and requirements in the automotive sector (desirable).
- You stand out for your strong communication skills and always keep our clients' requirements in mind.
- Your heart beats for innovative technologies and continuous learning.
Experience
- Solid knowledge and experience in data provisioning and transformation.
- Experience with AWS services and tools such as Amazon S3, Amazon Redshift, AWS Glue, AWS Lambda, AWS Step Functions, etc.
- Practical experience with ETL/ELT tools and frameworks such as dbt (data build tool), Apache Spark, Apache Airflow, AWS Glue, and/or AWS Data Pipeline.
- Experience with programming in languages such as SQL, Python, Scala, and/or similar languages.
- Experience with DevOps practices and tools such as Github workflows, CDK, Terraform.
- Experience with collaboration tools such as Confluence and Jira.
This text has been machine translated. Show original
Benefits
Health, Fitness & Fun
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
XL2 GmbH
XL2 GmbH, a joint venture between Audi and Capgemini, focuses on digital transformation in the automotive industry, providing innovative end-to-end solutions.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Industry, Production