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- Aufgaben: Lead the design and implementation of data-driven applications on ContiTech’s innovative platform.
- Arbeitgeber: Join Contitech Industries, a key player in Continental AG, driving digital transformation across industries.
- Mitarbeitervorteile: Enjoy hybrid work options, travel opportunities, and comprehensive benefits like insurance and gratuity.
- Warum dieser Job: Be part of a dynamic team in a start-up atmosphere, making impactful contributions to data engineering.
- Gewünschte Qualifikationen: 8+ years of experience in data warehousing, SQL, Python, and Agile methodologies required.
- Andere Informationen: Collaborate with international teams and contribute to the data & analytics community at ContiTech.
Das voraussichtliche Gehalt liegt zwischen 54000 - 84000 € pro Jahr.
Job Description
We are looking for Senior Data Warehouse Engineer who is extremely passionate about data engineering for our wide range of business applications and products targeted towards various industries and applications.
You will be based in our new ground-breaking innovation hub with an atmosphere of start-up and get an opportunity to work and collaborate with internal and external technology & business specialists in the areas of data & analytics.
Do you want to be a part of this exciting journey and make a difference?
Key Responsibilities:
- Own data-driven business applications on ContiTech’s ONE Data & Analytics Platform and work closely with the business customers, data engineers & platform architects to develop entire data & analytics applications & key features.
- Design, implement & test data pipelines, data (warehouse) models & data mart design for specific business applications running on ContiTech’s ONE Data & Analytics Platform to meet requirements.
- Apply latest design methodologies pertaining to data warehouse modeling and data engineering ensuring pragmatic, clean and sustainable implementations.
- Support DevOps for various Data & Analytics applications.
- Identify, prioritize, and execute tasks in the software development life cycle.
- Document solutions using flowcharts, layouts, diagrams, charts etc.
- Collaborate with internal teams to fix and improve the solutions.
Requirements:
Technical Skills:
- Expert in the following:
- Scalable Enterprise Data Warehouse design concepts
- SQL
- Python
- Delta Lake format
- Solution design of Data Lakehouses using DataBricks
- Knowledge of SAP ECC and/or SAP S/4 data domain
- Requirements Engineering
- Power BI data modeling
- SAP SAC data interfaces
- Salesforce data interfaces
- Scala
- Test-driven development
Experience:
- Overall 8+ years of professional experience.
- About 5+ years of experience in data warehouse modeling.
- 5+ years of experience in SQL, Python & data warehouse modeling.
- 3+ years of experience in Lakehouse concepts, Databricks and data warehouses using SAP-data, preferably with a Sales & Finance focus.
- 2+ years of experience working in Agile.
Additional Information
Other Skills:
- Experience with implementing and operating large enterprise data lakehouse or data warehouse business applications.
- Experience with building data & analytics applications based on SAP- and non-SAP data, preferably with specific experience with finance & sales data.
- Strong customer focus and drive to design technical solutions that focus on business value and analytical user experience.
- Experience of agile software development methodologies.
- Excellent communication skills in English (spoken and written).
- Great team player and ability to work in a highly international team.
- Willingness to sometimes travel nationally and internationally to various Continental locations and external development partner locations.
- Willingness & drive to learn new things.
- Experience working in tools like JIRA, Confluence, GIT, Jenkins etc.
- Contribute to the data & analytics community in ContiTech.
- You will be part of India Delivery center in Bangalore.
- Work from home options (Hybrid Model).
- Some travel needed (domestic/international).
- Other benefits like leaves, insurance, PF, Gratuity etc.
Ready to drive with Continental? Take the first step and fill in the online application.
Qualifications
Education:
- Bachelor’s degree with focus on computer science / software engineering, mathematics or other natural sciences.
- MCA with professional experience.
- Other relevant education streams with strong tech experiences can be considered.
Company Description
Contitech Industries is part of Continental AG. Headquartered in Hannover, Germany, the division contributes to Euro 6B+ to Continental’s Euro 40B+ turnover.
The Digital and Data Services team of ContiTech caters to all the Business Units in ContiTech and is responsible for developing software products using web, mobile, IoT, AI etc., especially in Digital transformation.
The team for data services specializes in all platforms, business applications and products in the domain of data and analytics, covering the entire spectrum including AI, machine learning, data science, data analysis, reporting and dashboarding.
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Senior data warehouse engineer. Arbeitgeber: Continental
Kontaktperson:
Continental HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior data warehouse engineer.
✨Tip Number 1
Familiarize yourself with the latest trends in data engineering, especially around scalable enterprise data warehouse design concepts and Lakehouse architecture. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the data engineering community, particularly those who have experience with SAP data domains and DataBricks. Engaging in discussions or attending meetups can provide insights and potentially lead to referrals.
✨Tip Number 3
Showcase your experience with Agile methodologies by discussing specific projects where you contributed to iterative development. Highlighting your adaptability and teamwork will resonate well with our collaborative culture.
✨Tip Number 4
Prepare to discuss how you've implemented data-driven solutions that focus on business value and user experience. Real-world examples will illustrate your ability to align technical solutions with business needs, which is crucial for this role.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior data warehouse engineer.
Tipps für deine Bewerbung 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Data Warehouse Engineer position. Tailor your application to highlight your relevant experience in data engineering, SQL, Python, and data warehouse modeling.
Highlight Relevant Experience: In your CV and cover letter, emphasize your 8+ years of professional experience, particularly focusing on your 5+ years in data warehouse modeling and your familiarity with Lakehouse concepts and Databricks. Use specific examples to demonstrate your expertise.
Showcase Technical Skills: Clearly list your technical skills that align with the job description, such as scalable enterprise data warehouse design, SQL, Python, and any experience with SAP data domains. Mention any tools you have used like JIRA, Confluence, GIT, and Jenkins.
Express Your Passion: Convey your passion for data engineering and analytics in your application. Discuss your willingness to learn new technologies and your drive to contribute to the data & analytics community at ContiTech.
Wie du dich auf ein Vorstellungsgespräch bei Continental vorbereitest
✨Show Your Passion for Data Engineering
Make sure to express your enthusiasm for data engineering during the interview. Share specific examples of projects you've worked on that demonstrate your passion and how you’ve contributed to data-driven applications.
✨Highlight Your Technical Expertise
Be prepared to discuss your experience with SQL, Python, and data warehouse modeling in detail. Provide concrete examples of how you've applied these skills in previous roles, especially in relation to scalable enterprise data warehouse design.
✨Demonstrate Collaboration Skills
Since the role involves working closely with various teams, emphasize your ability to collaborate effectively. Share experiences where you successfully worked with cross-functional teams to deliver data solutions.
✨Prepare for Agile Methodology Questions
Given the emphasis on Agile in the job description, be ready to discuss your experience with Agile methodologies. Talk about how you've contributed to Agile projects and any specific tools like JIRA or Confluence that you've used.
