Data Engineer, AI & Data, Technology Consulting
SG, 048583
EY
Mit unseren vier integrierten Geschäftsbereichen — Wirtschaftsprüfung und prüfungsnahe Dienstleistungen, Steuerberatung, Unternehmensberatung und Strategy and Transactions — sowie unserem Branchenwissen unterstützen wir unsere Mandanten dabei,...At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
The opportunity
EY AI & Data is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors. We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.
We are looking for a Data Engineer within the AI & Data team in our Singapore office.
Your key responsibilities
- Design, develop, and maintain scalable and efficient data pipelines to extract, transform, and load (ETL) data from various sources into data warehouses and data lakes.
- Collaborate with data scientists, data analysts, and business stakeholders to understand data requirements and deliver high-quality data solutions.
- Implement data quality checks and monitoring to ensure data accuracy, consistency, and reliability.
- Optimize data pipelines for performance, scalability, and cost-efficiency.
- Develop and maintain data models, schemas, and metadata to support data analytics and reporting.
- Work with big data technologies such as Hadoop, Spark, and Kafka to process and analyze large volumes of data.
- Implement data security and privacy best practices to protect sensitive data.
- Troubleshoot and resolve data-related issues in a timely manner.
- Stay up-to-date with the latest trends and best practices in data engineering and big data technologies.
Skills and attributes for success
- Experience in ETL, Data Engineering, Scripting.
- Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
- Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
- Exceptional communication, documentation and presentation skills and stakeholder management experiences
- Experience in business intelligence, data warehousing/platform, and data strategy projects
To qualify for the role, you must have
- At least 2 years’ experience as a Data Engineer with experience in development and maintenance support
- Data Migration experience in AWS, Azure, Hadoop, GCP environments
- Experience in development and maintenance of data processing pipelines
- Experience developing machine learning workflows
- Work closely with business analysts to create data component
Ideally, you’ll also have
- Dashboarding experience with Tableau / Power BI
- Experience in engaging with both technical and non-technical stakeholders
- Consulting experience and background, including engaging directly with clients
- Degree in Computer Science or IT or Business Analytics
What we look for
- Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
- An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.
What we offer
EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.
Plus, we offer:
- Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
- Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
- Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
- Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
If you can demonstrate that you meet the criteria above, apply today!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Azure Big Data Business Analytics Business Intelligence Computer Science Consulting Data Analytics Data pipelines Data quality Data strategy Data Warehousing Engineering ETL GCP Hadoop Kafka Machine Learning Pipelines Power BI Privacy SDLC Security Spark Tableau
Perks/benefits: Career development Flex hours
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