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Siemens
Analytics Engineer (m/f/d)
Siemens
Thane•Hybrid•1-3 Yrs•1 day ago
Job description
Hybrid
Overview
Create a better #TomorrowWithUs 🚀
Qualifications
- Technical Skills:
- Proficiency in SQL, data modeling, and designing ETL workflows.
- Build and optimize scalable data integration pipelines connecting various data stores.
- Hands-on experience developing and maintaining robust data architectures to support analytics and business intelligence.
- Proficiency in using tools for version control and managing CI/CD workflows, such as GitHub or GitLab.
- Communication: Excellent communication skills, including the ability to translate complex technical concepts to non-technical stakeholders, with strong English proficiency.
- Problem-Solving: Exceptional problem-solving and analytical thinking skills
- Familiarity with Agile or Scrum methodologies.
- What You Can Expect From Us…
- A hybrid and flexible working model to promote a better work-life balance, along with a budget for home office support and the opportunity to do 16 hours a year of volunteer work. A health insurance, access to our on-site medical center, plus the chance to join sports groups.
- In addition, you'll have access to online learning platforms and discounts with our partners. A shuttle bus to commute to the facilities and the possibility of financial support to your studies.
- What makes us proud as an employer:
- Merco – Companies and Leaders with the Best Reputation in Portugal (#1 Tecnology/Manufacturing)
- Forbes – World’s Best Employers (#1 Engineering & Manufacturing)
- LinkedIn – LinkedIn Top Companies (#2)
- OnStrategy – REPSCORE 2024: Brands’ Reputation in Portugal (#1 Engineering & Electronic Services)
- Fortune – World’s Most Admired Companies (#1 Industrial Machinery)
- Teamlyzer – Company with the Best Interviews (#1 Technology)
- Please attach your CV in English.
- #Siemens #PortugalTechHub
- Siemens is committed to creating a diverse environment and is glad to be an equal opportunity employer. We strongly encourage applications from a diverse talent pool!
- Communication: Excellent communication skills, including the ability to translate complex technical concepts to non-technical stakeholders, with strong English proficiency.
Nice to have
- Design, develop, and maintain real-time data streaming solutions to process high-volume data flows (Kafka, Confluent, and Flink).
- Expertise in data visualization tools like Power BI or Tableau.