at Capgemini
ConsultanciesPosted 7 days ago
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**Data Engineer**: Designs, manages, and improves data pipeline processes. Ensures data reliability, develops data బస్సుcks, and optimizes data loading time. Proficient in Python, Apache Spark, AWS Redshift, and cloud databases. Requires 5+ years of experience in data engineering, along with strong SQL skills and familiarity with Agile methodology. Connects data across systems, transforms raw data into valuable insights, and delivers high-quality data sets to data scientists and business teams. Collaborates effectively with cross-functional teams and stakeholders.
- Compensation
- Not specified
- City
- Not specified
- Country
- India
Currency: Not specified
Full 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
Focus on Industrial Operations Engineering. Fully competent in own area. Acts as a key contributor in a more complexor critical environment. Proactively acts to understand and anticipates client needs. Manages costs and profitability for a work area. Manages own agenda to meet agreed targets. Develop plans for projects in own area. Looks beyond the immediate problem to the wider implications. Acts as a facilitator, coach and moves teams forward.
