Pune, Maharashtra, India
Information Technology
Full-Time
Vodafone Idea Limited
Overview
Role Overview
We are looking for a hands-on Data Engineer with 8+ years of experience to build, manage, and scale data pipelines, deploy ML solutions, and enable advanced data visualizations and dashboards for business consumption. The ideal candidate will have a strong engineering mindset, deep understanding of data infrastructure, and prior experience working on self-managed or private cloud (VM-based) deployments.
Candidates from premier institutes (IITs, NITs, or equivalent Tier-1/2 schools) are strongly preferred.
Key Responsibilities
We are looking for a hands-on Data Engineer with 8+ years of experience to build, manage, and scale data pipelines, deploy ML solutions, and enable advanced data visualizations and dashboards for business consumption. The ideal candidate will have a strong engineering mindset, deep understanding of data infrastructure, and prior experience working on self-managed or private cloud (VM-based) deployments.
Candidates from premier institutes (IITs, NITs, or equivalent Tier-1/2 schools) are strongly preferred.
Key Responsibilities
- Design and build robust, scalable, and secure data pipelines (batch and real-time) to support AI/ML workloads and BI dashboards.
- Collaborate with data scientists to operationalize ML models, including containerization (Docker), CI/CD pipelines, model serving (FastAPI/Flask), and monitoring.
- Develop and maintain interactive dashboards using tools such as Plotly Dash, Power BI, or Streamlit to visualize key insights for business stakeholders.
- Manage deployments and orchestration on Vi’s local private cloud infrastructure (VM-based setups).
- Work closely with analytics, business, and DevOps teams to ensure reliable data availability and system health.
- Optimize ETL/ELT workflows for performance and scale across large telecom datasets.
- Implement data quality checks, governance, and logging/monitoring solutions for all production workloads.
- 8+ years of experience in data engineering, platform development, and/or ML deployment.
- Prefered B.Tech/M.Tech from Tier-1 or Tier-2 institutes (IITs, NITs, IIITs, BITS, etc.).
- Strong proficiency in Python, SQL, and data pipeline frameworks (Airflow, Luigi, or similar).
- Solid experience with containerization (Docker), scripting, and deploying production-grade ML or analytics services.
- Hands-on experience with dashboarding and visualization tools such as:
- Power BI / Tableau / Streamlit
- Custom front-end dashboards (nice to have)
- Experience working on self-managed VMs, bare-metal servers, or local private clouds (not just public cloud services).
- Familiarity with ML deployment architectures, REST APIs, and performance tuning.
- Experience with Kafka, Spark, or distributed processing systems.
- Exposure to MLOps tools (MLflow, DVC, Kubeflow).
- Understanding of telecom data and analytics use cases.
- Ability to lead and mentor junior engineers or analysts.
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