Cloud Development Engineer – Data Product

🕒 June 17

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EY

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1989

💸 Finance

Finance • Consulting • Technology

EY is a global professional services firm, widely recognized for providing audit, tax, consulting, and advisory services. It focuses on helping its clients solve complex problems and transform their businesses using data and technology. EY is committed to building a better working world by enhancing trust in financial markets and economies globally. Its services include corporate finance advisory, transaction strategy, technology consulting, and more, catering to sectors such as health, energy, finance, government, and more. EY also emphasizes sustainability and innovation in its solutions.

📋 Description

• 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)

🎯 Requirements

• 3–7 Years of experience • 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 • 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 • Experience with data governance, security, and compliance standards

🏖️ Benefits

• Competitive salary • Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development