DE-GCP Cloud AI and Data Engineer-UC-GDSF02
Ernst and Young1 month ago
Bengaluru, IndiaMid Level / Senior
Responsibilities
- Build and optimize data pipelines and ETL workflows using Python, Java, Go, Scala, Flink, Spark, and Google Cloud Dataflow.
- Build cloud-native AI/ML solutions with Vertex AI and integrate GenAI capabilities into data pipelines and enterprise data platforms.
- Manage application and container lifecycles and set up CI/CD pipelines for builds and target-platform deployment.
- Follow escalation procedures for unresolved issues and document technical knowledge in notes and manuals for support and deployment.
- Collaborate with application developers, data scientists, enterprise architects, multidisciplinary teams, and clients.
- Foster teamwork, lead by example, participate in organization-wide initiatives, and travel according to client and job requirements.
Requirements
- BE, BTech, or MCA degree with 4 to 6 years of industry experience.
- Hands-on experience with Java, Python, scripting languages, and Golang.
- Experience building cloud-native AI/ML solutions with Vertex AI and supporting documented industry use cases.
- Experience with data pipelines, ETL workflows, Flink, Spark, and preferably Google Cloud Dataflow.
- Expertise in public cloud and a professional or practitioner certification on GCP.
- Experience with application and container lifecycle management and CI/CD pipeline setup.
- Apache Beam and Java/Spring Boot experience are preferred.
- Strong written and oral communication skills are required; writing, publishing, and conference-level presentation skills are a plus.
Benefits
- Continuous learning, individualized coaching, and professional development opportunities.
- A diverse and inclusive global culture with collaboration across EY teams, service lines, geographies, and sectors.
- Tools and flexibility to make a meaningful impact, along with leadership insights, coaching, and skills development.
- Travel is required in accordance with client and other job requirements.
Tech Stack
Categories
Data EngineeringML 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.