at Capgemini
ConsultanciesPosted 2 days ago
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**Analytics Engineer (Senior)** leads and manages data engineering teams, driving projects that deliver reliable, high-quality data solutions. Key responsibilities include overseeing data infrastructure development, ensuring technical excellence, and collaborating with stakeholders to derive actionable insights. Required skills include expertise in data pipelines, ETL processes, cloud platforms (AWS, GCP, Azure), big data technologies (Spark, Hadoop), and data warehousing (Redshift, BigQuery). A proven track record in leading data engineering teams and mindestens 5 Jahren experience in data engineering is required for this Senior role.
- Compensation
- Not specified
- City
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- Country
- Mexico
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Full Job Description
Job Description
Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets.
Job Description - Grade Specific
The involves leading and managing a team of data engineers, overseeing data engineering projects, ensuring technical excellence, and fostering collaboration with stakeholders. They play a critical role in driving the success of data engineering initiatives and ensuring the delivery of reliable and high quality data solutions to support the organizations data driven objectives.
