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Senior Cloud Development Data Product Engineer
EYTechnical Data Product Engineer at EY, building data systems to power intelligent decision-making and innovative experiences. Collaborating with stakeholders and enhancing data architecture for scalability and reliability.
Tech Stack
Tools & technologiesAirflowAngularAWSAzureCloudGoogle Cloud PlatformJenkinsKafkaPythonReactSparkSQL
About the role
Key responsibilities & impact- Build Data Products, Not Just Pipelines
- Design and develop end-to-end data products that serve analytics, operational, and AI use cases
- Define data SLAs, quality benchmarks, and usability standards
- Build and optimize high-performance data pipelines (batch & real-time)
- Architect cloud-native data platforms for scalability, reliability, and cost efficiency
- Ensure data quality, lineage, governance, and discoverability
- Implement robust monitoring, alerting, and anomaly detection systems
- Collaborate with product, analytics, and business teams to translate requirements into data solutions
- Enable self-service data access through well-modeled datasets and APIs
- Contribute to modern data architecture strategy (lakehouse, event-driven systems)
- Continuously improve systems for performance, reliability, and developer experience
Requirements
What you’ll need- 3–7 Years of experience in data engineering
- Strong programming in Python and SQL
- Hands-on experience with distributed data processing (Spark or equivalent)
- Experience building pipelines using Airflow (or similar orchestration tools)
- Solid understanding of data modeling, warehousing, and data lakes/lakehouse architectures
- Experience with cloud platforms (AWS / Azure / GCP)
- Strong foundation in data quality, observability, and reliability engineering
- Real-time streaming experience (Kafka, Kinesis, etc.) preferred
- Experience with Snowflake, Databricks, or modern data platforms preferred
- Building or consuming REST APIs for data services preferred
- Exposure to ML/AI pipelines or feature engineering workflows preferred
- Familiarity with DevOps practices (CI/CD, Git, Jenkins, Azure DevOps) preferred
- Basic frontend exposure (React/Angular) for data tooling preferred
- Bachelor’s or Master’s in Computer Science, Data Engineering, or related field
- 3+ years of experience in data engineering or data platform development
- Additional Certifications in cloud or data engineering preferred
- Experience with data governance, security, and compliance standards preferred.
Benefits
Comp & perks- Competitive salary
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
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Hard Skills & Tools
PythonSQLSparkAirflowdata modelingdata warehousingdata lakesAWSAzureGCP
Soft Skills
collaborationcommunicationproblem-solvinganalytical thinkingadaptabilityattention to detailcreativitytime managementteamworkcritical thinking
Certifications
cloud certificationsdata engineering certifications