Senior Data Engineer Job at Vodafone (Pune)

Senior Data Engineer

Vodafone

Location:
India , Pune

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

We are seeking an experienced GCP Data Engineer to design, build, and operationalise cloud-based data processing solutions within the Software Engineering – BIBDA function. Based in Pune, this role focuses on translating high-level architectural designs into robust low-level implementations, developing scalable data pipelines on Google Cloud Platform, and acting as a subject matter expert within the team while contributing to engineering excellence across projects.

Job Responsibility:

Prepare low-level designs (LLD) aligned to high-level designs (HLD) defined by the project architect
Build, deploy, and operationalise data processing systems in line with approved designs
Develop and optimise data pipelines using GCP services such as BigQuery and Airflow
Apply standard and innovative cloud data pipeline patterns, working effectively within product constraints
Act as a subject matter expert in GCP data engineering, supporting and mentoring junior team members
Demonstrate continuous learning and apply new skills and technologies in day-to-day delivery
Manage small teams or projects end-to-end, from build through to closure, when required
Contribute to organisational improvements through process adoption, resource optimisation, and tooling enhancements
Actively contribute technical expertise to internal guilds and communities of practice

Requirements:

Strong proficiency in SQL and data modelling concepts
Hands-on experience with the GCP ecosystem, including BigQuery, Dataflow, Dataproc, Looker, and related services
Practical experience with DBT, including model development, Jinja templating, and lineage generation
Solid understanding and implementation experience of Data Vault 2.0 concepts on cloud data warehouses
Around 6+ years of overall industry experience, with at least 2–4 years working on GCP, DBT, and Data Vault 2.0
Google Cloud Certified Professional Data Engineer certification is an advantage
Holds a recognised qualification such as B.E./B.Tech, BCA/MCA, or BSc/MSc in Computer Science or a related discipline
Demonstrates strong collaboration, problem-solving, and knowledge-sharing behaviours

What we offer:

Opportunity to work on enterprise-scale data platforms within a global organisation
Exposure to modern cloud data engineering practices and tools on Google Cloud Platform
A collaborative environment that values knowledge sharing, continuous improvement, and quality delivery
The chance to contribute beyond projects through guilds, process improvements, and tooling initiatives

Additional Information:

Job Posted:
April 16, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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