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GCP Data Engineer at Vodafone United States

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

19 Mar, 26

Salary

0.0

Posted On

19 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

GCP Data Fusion, BigQuery, Airflow, Data Pipeline, Python, Java, Apache Airflow, GCP Data Proc, Data Flow, Cloud Platforms, Data Engineering, Mentoring, Process Adoption, Resource Optimisation, Tool Utilisation, Technical Expertise

Industry

Telecommunications

Description

Prepare Low-Level Design (LLD) based on High-Level Design (HLD) provided by the project architect. Build and operationalise data processing systems in line with LLD specifications. Apply expertise in GCP Data Fusion, BigQuery, and Airflow for optimised development. Design and implement data pipeline patterns, addressing product limitations with innovative solutions. Act as SME for GCP Data Engineering, mentoring junior resources and enabling collaborative delivery. Lead small teams or projects from build to closure when required. Drive process adoption, resource optimisation, and tool utilisation to enhance efficiency and quality. Contribute technical expertise to organisational guilds. Experienced in GCP suite of products such as BigQuery and Data Fusion. Proficient in programming languages like Python or Java. Knowledgeable in Apache Airflow, GCP Data Proc clusters, and Data Flow. Holds 2-4 years of overall experience, with at least 1-2 years in cloud platforms (GCP/AWS/Azure). Preferably Google Cloud Certified Professional Data Engineer. Educational qualifications: B.E./B.Tech, BCA/MCA, or BSc/MSc in Computer Science. 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

Prepare Low-Level Design based on High-Level Design and build data processing systems. Act as a Subject Matter Expert for GCP Data Engineering and mentor junior resources.