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Senior Data Engineer

ExperiencedNo visa sponsorship
Capgemini logo

at Capgemini

Consultancies

Posted 6 days ago

No clicks

**Senior Data Engineer**: Lead and mentor data engineering teams, architect scalable infrastructure, and drive projects ensuring high-quality data delivery. Requires proficient use of BigQuery, Spark, Kafka, and Cloud platforms. Minimum 7+ years' experience in similar roles.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
India

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.

Senior Data Engineer

Compensation

Not specified

City: Not specified

Country: India

Capgemini logo
Consultancies

6 days ago

No clicks

at Capgemini

ExperiencedNo visa sponsorship

**Senior Data Engineer**: Lead and mentor data engineering teams, architect scalable infrastructure, and drive projects ensuring high-quality data delivery. Requires proficient use of BigQuery, Spark, Kafka, and Cloud platforms. Minimum 7+ years' experience in similar roles.

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.