Capgemini
Industrial Operations Engineer
Job Description
Job Description
This role involves the development and application of engineering practice and knowledge in designing, managing and improving the processes for Industrial operations, including procurement, supply chain and facilities engineering and maintenance of the facilities. Project and change management of industrial transformations are also included in this role.
Job Description - Grade Specific
The AI/Data Engineer will be responsible for designing, implementing, and maintaining scalable data solutions. This role will involve working with various data tools and technologies to ensure efficient data processing, integration, and visualization.
Key Responsibilities:
- Develop and maintain data pipelines and ETL processes to ingest and transform data from multiple sources.
- Design, implement, and manage data models and databases using SQL.
- Utilize Python for data manipulation, analysis, and automation tasks.
- Administer and automate processes on Linux systems using shell scripting and tools like Putty.
- Schedule and monitor jobs using Control-M or similar scheduling tools.
- Create interactive dashboards and reports using Tableau and Power BI to support data-driven decision-making.
- Collaborate with data scientists and analysts to support AI/ML model deployment and integration.
- Ensure data quality, integrity, and security across all data processes.
- Utilize version control software, such as Git and Bitbucket, to manage and track code changes effectively.
Qualifications:
- Bachelor’s degree in computer science, Information Technology, or a related field.
- At least 3 years of proven experience as a Data Engineer, AI Engineer, or similar role.
- Proficiency in Python and SQL.
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