Data Engineer Consultant
Locații Bosch
Timisoara
Tipul contractului
Nelimitat
Compensare
Conform acordului
Mod de lucru
Remote
Domenii de lucru
Inginerie
Alătură-te echipei
Profesionist
Data de începere
conform acordului mutual
Timp de lucru
Normă întreagă
Divizie
Bosch Global Service Solutions
Responsabilitățile tale
We are looking for a Data Engineer Consultant to be part of our team.
Key responsibilities
- Team Enablement: Directly supports and empowers Domain & decentralized development teams, acting as a technical guide and gathering feedback to continuously improve platform utility.
- Core Expertise: Leverages strong expertise in Databricks and SQL to guarantee data quality and provide reliable data for analysis and business processes.
- Empower Teams: Act as a primary consultant, guiding teams on data engineering best practices and effective platform use, fostering a data-driven culture.
- Master Modern Data Engineering Stack: Build and orchestrate robust data pipelines, ensuring data reliability, accessibility, and readiness for analytics and ML.
- DevOps and Data Automation: Leverage CI/CD expertise to create efficient, automated, and scalable data workflows for development teams.
- Ensure Data Quality: Monitor and guarantee data quality, making it transparent across the organization.
- Collaboration and Communication: Work closely with stakeholders and other IT teams, actively contributing to our data community.
Profilul tău - DevOps: Experience with CI/CD pipelines and Git/VCS; Databricks Asset Bundles is a plus.
- Technical Expertise: Strong knowledge of Databricks and data modeling/engineering; experience with lakehouse/data platform architecture, Python, Spark, and SQL.
- Data Engineering: Proficiency in data pipelining, orchestration, and cluster management; dbt experience is a bonus.
- Communication: Excellent English communication skills required; German language skills are a significant advantage.
- Education & Experience: Degree in Computer Science, Engineering, or similar.
- DevOps: Experience with CI/CD pipelines and Git/VCS; Databricks Asset Bundles is a plus.
- Technical Expertise: Strong knowledge of Databricks and data modeling/engineering; experience with lakehouse/data platform architecture, Python, Spark, and SQL.
- Data Engineering: Proficiency in data pipelining, orchestration, and cluster management; dbt experience is a bonus.
- Communication: Excellent English communication skills required; German language skills are a significant advantage.
- Education & Experience: Degree in Computer Science, Engineering, or similar.