Data Engineering Assistant Manager
3 weeks ago
We are seeking a highly skilled Data Engineering Assistant Manager to join our team at Bosch. As a key member of our data engineering team, you will be responsible for designing, developing, and maintaining large-scale data systems to support our business operations.
Key Responsibilities:
- Design and implement data pipelines using KNIME and Python to extract, transform, and analyze data for actionable insights.
- Manage databases using SQL to ensure data integrity and availability.
- Develop low-code solutions using OutSystems and Power Platform to streamline processes and improve efficiency.
- Lead software implementation projects within the department, ensuring successful delivery within scope, time, and budget constraints.
- Create visually compelling data visualizations using Power BI to support the Plant Quality Champions.
- Collaborate effectively with cross-functional teams and communicate findings and recommendations clearly.
- Demonstrate a strong work ethic by being reliable, independent, analytical, and solution-oriented.
- Show enthusiasm for exploring new and uncharted paths in data analysis and project management.
- Risk handling in case of failures.
- Handle Ad-hoc projects.
- Execution of specific questions and realization of respective solutions in the plant context.
- Standardization and documentation of process.
- Documentation of lessons learned in case of issues.
Qualifications:
BE / B-Tech in Computer Science / Electronics 5-8 years of experience in Data engineering
Additional Information:
- Proficiency in data visualization using Power BI or similar tools.
- Proficiency in SQL for data querying and management.
- Experience in low-coding platforms like OutSystems or Power Platform.
- Strong project management and leadership skills with a track record of successful project delivery.
- Self-motivated, data-driven mindset with excellent problem-solving skills.
- Exceptional communication and interpersonal skills, with the ability to work effectively in a team.
- Resilient and adaptable, capable of handling challenging situations with a positive attitude.
- Eagerness to explore and embrace innovative approaches and technologies
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