Data Engineering Enablement Consultant role facilitating data engineering inquiries and support for GM's data platforms. Partnering with technical teams to optimize processes and enhance customer experience.
About the role
- Data Engineer focused on building scalable data architecture for analytics at ZEISS. Collaborating with teams to ensure data quality and compliance in a modern data environment.
Responsibilities
- Design and implement scalable, reliable, and efficient data architecture to support large-scale data processing and analytics needs.
- Develop, maintain, and optimize data pipelines and ensure data quality, reliability, and timeliness for ingestion and processing.
- Ensure consistent code quality and adherence to technical guidelines across the team.
- Scope, plan, estimate and deliver projects according to aligned roadmaps.
- Proactively provide project updates, identify impediments, project risks and options for mitigation.
- Collaborate with data analysts, data engineers and other stakeholders to deliver data solutions that drive insights and support business needs.
- Automate repetitive data tasks (testing, deployment, etc.), implement monitoring solutions, and support the production environment to ensure smooth data operations.
- Mentor and provide guidance to junior engineers and contribute to the continuous improvement of engineering practices across the team.
- Implement data governance practices, ensuring data security, privacy, and compliance with industry standards and regulations (e.g., GDPR).
Requirements
- A degree in a MINT field or an equivalent educational background.
- At least 3 years of experience in data engineering, including working with large-scale data processing and management systems.
- Demonstrated practice in Python, SQL, Pyspark and DevOps implementation. (Azure Devops, Jenkins)
- Experience in design and implementation of complex data pipelines.
- Extensive experience in clean, maintainable, and efficient code development.
- Strong communication skills in English and the ability to work effectively with both technical and non-technical stakeholders.
Benefits
- Competitive salary
- Flexible working arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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