Note: The job is a remote job and is open to candidates in USA. Oracle is a leading company in digital modernization, and they are seeking a Data Engineer dedicated to delivering exceptional user experiences. The role focuses on developing AI/ML capabilities, designing robust data pipelines, and collaborating with cross-functional teams to enhance user personalization and insights.
Responsibilities
- Contribute to Mail Intelligence Mission: Support the development of AI/ML capabilities that enhance user personalization and insights
- Innovate and Personalize: Assist in building scalable solutions that identify user interests and habits, contributing to personalized user experiences
- Data Pipeline and Insights Development: Design and implement robust data pipelines using frameworks like DataProc, Dataflow, and Composer. Streamline data processing and orchestration, utilize Data Lake and Pub/Sub for storage and streaming, and create insightful visualizations with Looker Studio to support AI/ML initiatives
- Collaboration: Work closely with cross-functional teams in the USA to integrate data solutions that enhance user experiences
- Data Governance: Implement robust data governance practices to maintain data quality and compliance across the organization
- Optimization: Continuously improve data workflows for efficiency and scalability
- Technical Strategy: Collaborate with tech leads to align data strategies with business goals
- Feedback and Recovery: Implement mechanisms to handle data processing failures gracefully
- Tradeoff Management: Balance cost, quality, and speed in data solutions to optimize performance
Skills
- Bachelor's degree in Computer Science, Data Engineering, or a related field; a Master's degree is a plus
- 5+ years in data engineering, big data processing, or a related field
- Strong skills in SQL, Python, or Java, with experience in big data technologies like Hadoop, Spark, or Kafka
- Proficient in stream and batch processing frameworks and data visualization tools
- Skilled in implementing data governance practices
- Proficiency with public cloud platforms, especially Google Cloud Platform (GCP)
- Demonstrated ability to solve complex problems and implement efficient, scalable solutions
- Experience working with international teams and cross-functional collaboration
- Strong verbal and written communication skills for effective collaboration with US-based teams
- Eagerness to learn and adapt to new data technologies and methodologies
- Prior experience working with email systems or related technologies is a plus
- Self-driven and detail-oriented, with a passion for tackling challenges
- Strong teamwork spirit, excellent communication skills, and the ability to multitask and manage expectations effectively
- Experience with public cloud platforms, especially Google Cloud Platform (GCP), is preferred
- Experience with specific technologies such as DataProc, Dataflow, Composer, Data Lake, Pub/Sub, and Looker Studio
Benefits
- Medical, vision, and dental benefits
- 401k retirement plan
- Variable pay/incentives
- Paid time off
- Paid holidays
Company Overview
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