Principal Software Engineer (Data Engineering)
NielsenIQ (company site, opens in a new tab)10+ yrsChennaiOn-siteDirect career pageEst. 30–50 LPA
Posted on 11 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and optimize scalable, reliable data pipelines and cloud-native data platforms using Python, SQL, Snowflake, and cloud technologies (AWS/Azure/GCP).
- Lead architecture decisions, establish engineering best practices, mentor senior engineers, and drive adoption of AI-enabled data solutions including ML pipelines and LLM integrations.
- Implement and manage CI/CD pipelines, Infrastructure as Code, and ensure high data quality, governance, security, and performance optimization across data engineering workflows.
Minimum Requirements
- 10+ years of experience in Data Engineering.
- Strong proficiency in Python programming, advanced SQL, and experience with Snowflake or equivalent cloud data warehouse technology.
- Experience working with cloud platforms Microsoft Azure (preferred), AWS, or Google Cloud Platform and CI/CD tools like Azure DevOps, GitHub Actions, Jenkins, or GitLab CI/CD.
- Knowledge of DevOps practices including Docker, Kubernetes, and Infrastructure as Code (Terraform, CloudFormation).
Ideal Candidate Profile
- Experienced technical leader capable of architectural ownership and mentoring senior engineering teams in enterprise-scale data platform delivery.
- Strong background in cloud-native data engineering with proven skills in modern data architectures including data lakes, lakehouse, streaming, and AI/ML pipelines.
- Demonstrates deep expertise in integrating AI/ML solutions such as generative AI, LLMs, and vector databases into data engineering platforms.