Principal Data Engineer
NielsenIQ (company site, opens in a new tab)10+ yrsPuneHybridDirect career pageEst. 35–55 LPA
Posted on 28 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead technical architecture and oversee the design of scalable, high-performance data processing solutions using Azure and Databricks platforms.
- Provide hands-on development including coding, code reviews, and implementation of data pipelines, transformations, and ML workflows leveraging Apache Spark, Delta Lake, and Airflow.
- Manage and mentor engineering teams, conduct performance reviews, and drive engineering best practices including CI/CD and DevOps in a multi-disciplinary data environment.
Minimum Requirements
- 10+ years of strong software development experience.
- Proven expertise with Azure data platforms including Databricks, Azure Data Lake, Azure Synapse, and Azure Functions.
- Experience with Apache Spark, Delta Lake, workflow orchestration tools (e.g., Apache Airflow), containerisation (Docker, Kubernetes), and infrastructure as code (Terraform, Bicep).
- Proven line management experience with mentoring, career development, and performance management of engineers.
Ideal Candidate Profile
- Experienced in bridging software engineering, data engineering, and data science, ensuring seamless technical integration across teams.
- Familiar with agile environments and modern software architecture including microservices and event-driven systems.
- Capable of translating business needs into technical designs and influencing technical direction while maintaining governance, security, and compliance standards.