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Senior Data Engineer - GCP - VOIS at Vodafone United States

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

11 Feb, 26

Salary

0.0

Posted On

13 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

GCP, BigQuery, Airflow, Data Engineering, Cloud-Native Data Pipeline, MPP Databases, Teradata, PostgreSQL, Apache Airflow, Cloud Composer, Process Improvements, Resource Optimisation, Tool Adoption, Mentoring, Technical Expertise, Proactive Learning

Industry

Telecommunications

Description

Translate high-level designs into detailed low-level designs for data engineering solutions. Build and operationalise data processing systems aligned with project architecture. Apply advanced knowledge of GCP BigQuery and Airflow to optimise development workflows. Identify and implement cloud-native data pipeline patterns, overcoming platform limitations creatively. Serve as a subject matter expert in GCP Data Engineering, mentoring junior colleagues. Lead small teams or projects from initiation to closure when required. Drive process improvements, resource optimisation, and tool adoption to enhance delivery quality. Contribute technical expertise to internal Guilds and collaborative forums. Proven experience with GCP suite, especially BigQuery. Prior exposure to MPP databases such as Teradata and PostgreSQL. Hands-on experience with Apache Airflow or Cloud Composer for job scheduling. Minimum 8 years of overall experience, with at least 4 years in cloud platforms (GCP/AWS/Azure). Google Cloud Certified Professional Data Engineer (preferred). Holds a degree in Computer Science or related field (B.E./B.Tech, BCA/MCA, BSc/MSc). Demonstrates a proactive approach to learning and applying new technologies. Committed to delivering defect-free development and timely task completion. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.

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Responsibilities

Translate high-level designs into detailed low-level designs for data engineering solutions and build operational data processing systems. Lead small teams or projects and drive process improvements to enhance delivery quality.