Senior Engineer, Data Engineering/digitalization Ii
2 days ago
Job Title: Senior Engineer, Data Engineering/Digitalization II
Job Summary:
The Senior Engineer, Data Engineering/Digitalization II, is responsible for driving and implementing data engineering and digitalization initiatives within an organization. This role involves leveraging data technologies, developing data pipelines, and creating digital solutions to enable data-driven decision-making and optimize business processes. The Senior Engineer will collaborate with cross-functional teams, provide technical expertise, and lead the development of data-driven solutions.
Key Responsibilities:
- Lead and drive data engineering and digitalization initiatives, working closely with stakeholders to understand business requirements and develop innovative solutions.
- Design, develop, and implement data pipelines, data integration processes, and data transformation workflows to ensure efficient and accurate data capture, storage, and analysis.
- Utilize data engineering tools and technologies, such as ETL frameworks, data warehouses, and data lakes, to enable data-driven decision-making and support analytics and reporting requirements.
- Collaborate with data scientists, analysts, and business stakeholders to identify data needs, define data models, and develop data structures that enable effective data analysis and visualization.
- Develop and implement data quality and data governance processes to ensure data accuracy, consistency, and compliance with privacy and security regulations.
- Identify opportunities for process automation and digitalization, leveraging emerging technologies such as machine learning, artificial intelligence, and robotic process automation.
- Collaborate with IT and infrastructure teams to ensure the availability, scalability, and performance of data engineering and digitalization systems and platforms.
- Provide technical leadership and mentorship to junior engineers, guiding them in the development and implementation of data engineering and digitalization projects.
- Collaborate with cross-functional teams, including data scientists, software developers, and project managers, to ensure successful project delivery and alignment with business objectives.
- Conduct performance evaluations, provide feedback, and identify training and development needs for team members.
- Collaborate with external vendors, consultants, and partners to leverage their expertise and resources for data engineering and digitalization projects.
- Ensure compliance with relevant data privacy, security, and regulatory requirements in data engineering and digitalization activities.
- Foster a culture of innovation, continuous improvement, and knowledge sharing within the data engineering and digitalization team.
Qualifications:
- Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. Master's degree is a plus.
- Min 5 years of experience in data engineering, digitalization, or a related field, with a focus on developing and implementing data-driven solutions.
- Strong knowledge of data engineering principles, practices, and technologies, including ETL frameworks, data integration, and data modeling.
This job has been sourced from an external job board.
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