EY Data Engineer Work From Home Jobs: EY (Ernst & Young) gives far-flung task opportunities for Data Engineers. Responsibilities include designing, building, and optimizing records pipelines, dealing with ETL techniques, and making sure facts are excellent for analytics.
- Position: Data Engineer
- Salary: Not Disclosed
- Company: EY
- Location: Work From Home
- Job Type: Full-time
- Qualification: Bachelor’s or Master’s degree
About Company:
Ernst & Young (EY) is a global chief in professional services, supplying audit, warranty, tax, transaction, and advisory services. With a commitment to building a higher-running global, EY enables corporations to navigate challenges and drive growth. The corporation operates in over a hundred and fifty nations, employing thousands of experts throughout various industries. EY fosters an inclusive, modern painting lifestyle, that specializes in sustainability and virtual transformation to deliver impactful answers to clients worldwide.
Job Description: EY Data Engineer Work From Home Jobs
As a Data Engineer at EY, you will play an important position in designing, enforcing, and dealing with advanced data structures to support conventional facts warehousing and real-time analytics. This position emphasizes building robust pipelines, leveraging contemporary technology, and collaborating with AI/ML teams to force business intelligence and innovation.
Responsibilities:
Data Pipeline Development:
- Design, assemble, and keep scalable, green, and reliable statistics pipelines.
- Support conventional data warehousing desires and actual-time statistics processing necessities.
ETL and Data Workflows:
- Implement optimized ETL (Extract, Transform, Load) approaches.
- Create automatic workflows to ensure constant statistics processing and overall performance.
Data Management:
- Manage records lakes, warehouses, and databases at the same time as making sure facts are great, secure, and consistent.
- Administer vector databases to help superior AI/ML programs and improve query performance.
Unstructured Data Indexing: Index and catalog unstructured data to allow superior analytics and machine-gaining knowledge of workflows.
API Integration: Securely combine REST APIs and external data assets, adhering to data governance requirements.
AI/ML Collaboration:
- Work with AI/ML teams to combine information with OpenAI, Azure, and different LLM (Large Language Model) endpoints.
- Develop synthetic datasets for model schooling, the usage of statistics anonymization and augmentation strategies.
- Leverage set off engineering strategies to refine inputs and outputs for generative AI models.
System Optimization:
- Monitor, troubleshoot, and optimize records systems for excessive availability and minimal downtime.
Required Skills and Qualifications:
Educational Background: Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.
Experience: Minimum of 3 years of proven experience in data engineering with successful data pipeline development.
Technical Skills:
Data Systems Expertise:
- Proficiency in SQL and NoSQL databases for records modeling and data warehousing answers.
- Hands-on enjoy with huge facts technology like Hadoop, Spark, and Kafka.
- Familiarity with distributed computing principles for dealing with huge-scale records processing.
Programming and Automation: Strong command of Python and scripting languages to automate approaches and build efficient workflows.
Cloud Infrastructure: Practical knowledge of cloud offerings (AWS, Azure, or GCP) associated with records engineering and storage solutions.
API Development: Demonstrated revel in developing and eating REST APIs with a focal point on information safety and compliance.
Data Security and Compliance: Familiarity with records governance practices and privacy rules.
Soft Skills:
- Excellent analytical and problem-solving talents with attention to detail.
- Strong communication and collaboration talents to work efficiently within cross-functional teams.
Benefits at EY:
Comprehensive Health & Wellness Programs: Including clinical, dental, and vision coverage, along with mental health assistance and well-being tasks.
Flexible Work Options: Emphasis on work-existence balance with far-off working, flexible hours, and paid days without work.
Retirement Plans: Competitive retirement savings plans with corporation contributions and financial planning help.
Other More Jobs:
Google Recruitment for Senior Software Engineer