Data Engineer Job Openings in Pune 2026!!!
Vodafone announced job vacancy for the post of Data Engineer – VOIS. The place of posting will be at Pune. Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows
Company Overview
| Name of the Company | Vodafone |
| Required Qualifications | Graduate / Post Graduate |
| Skills | Strong expertise in Databricks on GCP |
| Category | Technology |
| Work Type | Onsite |
They are seeking an experienced Data Engineering Specialist with strong hands-on expertise in Databricks on GCP, Python-based data engineering, and Spark processing. The individual will design, build, and optimise large-scale data pipelines across the GCP ecosystem, applying robust engineering practices, data quality frameworks, and cost-optimised solutions.
Job Details
Θ Positions: Data Engineer – VOIS
Θ Job Location: Pune
Θ Salary: As per company standards
Θ Job Type: Full Time
Θ Requisition ID: 1389750933
Roles and Responsibilities:
- Design and build data pipelines on GCP using Databricks (Delta Lake and Unity Catalog) for orchestration, Dataproc for Spark execution, supporting both ETL/ELT and feature engineering workloads.
- Engineer declarative, modular, and reusable pipelines in Python, following configuration-as-code principles and CI/CD practices including Git-based promotion, testing, and deployment.
- Implement and maintain data quality and observability practices using validation frameworks, logging, metrics, and alerts.
- Optimise pipeline performance, reliability, and cost through techniques such as cluster sizing, auto-termination, Z-ordering, caching, and partitioning strategies.
- Apply robust error handling, parameterisation, and triggers within Cloud Data Fusion pipelines.
- Ensure operational excellence by maintaining monitoring, performance tuning, and continuous improvements across data products and workloads.
Required Skills & Qualifications:
- Strong expertise in Databricks on GCP including Delta Lake, notebooks/jobs, Unity Catalog, and cluster policies.
- Experienced in Cloud Data Fusion design, including pipeline management, error handling, and orchestration.
- Skilled in Dataproc Spark with experience building PySpark jobs, configuring ephemeral clusters, and handling initialisation actions.
- Proficient in Python for data engineering including packaging, unit testing, type hints, and linting.
- Strong SQL skills, specifically with BigQuery including performance tuning, partitioning, and clustering.
- Familiar with GCP services such as Cloud Storage, Pub/Sub, and Cloud Composer/Airflow.
- Holds a qualification such as B.E., B.Tech, BCA, MCA, BSc, or MSc in Computer Science or a related field.
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