Databricks Data Engineer, Senior Associate, AI Data, Technology Consulting
Ernst and Young2 months ago
Singapore, SingaporeSenior
Responsibilities
- Design scalable, high-performance, and resilient data pipelines.
- Code complex requirements and deliver high-quality solutions for large data platforms.
- Deploy data platform projects across public clouds and highly secure environments.
- Integrate data governance tools and ecosystem products across cloud environments.
- Translate business requirements into high-level and low-level technical designs.
- Collaborate with stakeholders and present findings to non-technical audiences.
- Build reusable, modular data engineering code using engineering best practices.
- Stay current with technical, industry, and data analysis developments, including AI integrations.
- Estimate and size infrastructure for data platform solutions.
- Deliver projects using end-to-end technical delivery and agile practices.
Requirements
- Bachelor’s degree in Computer Science, Mathematics, Engineering, Statistics, or a related field.
- At least 4 years of experience with data platform solutions across the data and analytics software development lifecycle.
- At least 2 years of experience designing and mapping requirements to Databricks data pipeline capabilities across Azure, AWS, or GCP.
- Proficiency in Python, Spark, Scala, and other programming languages.
- Strong understanding of end-to-end data analytics, insights delivery, data modeling, and data platform trends including AI.
- Hands-on experience with ELT, data pipelines, and orchestration tools.
- Databricks and Azure data engineering certifications.
- Experience with data governance tools and technical delivery of data platform projects.
- Experience with agile delivery methodologies, estimation, and infrastructure sizing.
- Strong problem-solving, analytical, strategic thinking, communication, prioritization, and people management skills.
- GCC experience is an added advantage.
- Proficiency with JIRA and Atlassian products is preferred.
Benefits
- Competitive remuneration package tied to individual and team performance.
- Flexible working arrangements may be considered.
- Continuous learning opportunities and development support.
- Tools and flexibility to make a meaningful impact.
- Leadership insights, coaching, and confidence-building support.
- Diverse and inclusive culture.
Tech Stack
Categories
Data Engineering
About Ernst and Young
Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.