Senior Data Engineer- Fusion Experience
$102,300 - $209,500 per year
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SENIORITY
Lead
SALARY
$102,300 - $209,500 per year
About the role
- Data Processing & Pipelining – Data Requirements, Collection, And Infrastructure
- Identifies data requirements and business objectives of a project or initiative in collaboration with cross-functional teams.
- Designs and builds proper data pipelines required for optimal data processing from a variety of data sources.
- Independently analyzes, designs, and troubleshoots data flows based on business needs.
- Analyzes business requirements and translates that into a technical specification.
- Adjusts data collection processes that involve indexing and query optimizations, for optimal performance.
- Builds Extract, Transform, and Load (ETL) pipelines to support efficient data collection and extraction, independently.
- Analyzes data sources for profiling the data to ensure pipeline build success.
- Defines success and failure thresholds for data collection pipelines.
- Implements data governance policies and procedures for data handling (e.g., data retention) to manage data consistency, integrity, accuracy, and reliability throughout the data lifecycle.
- Redacts Personally Identifiable Information (PII) and Protected Health Information (PHI) data to ensure compliance with data privacy and security standards.
- Follows data security measures to protect data from unauthorized access, use, disclosure, alteration, or destruction.
- Ensures data compliance with relevant laws, regulation, and industry standards.
- Data Processing & Pipelining – Data Validation & Quality Assurance
- Implements rigorous data validation and integrity checks, identifying and addressing any data quality issues that could impact data pipeline and model performance.
- Defines data annotation and labeling processes to ensure data quality, independently.
- Designs and implements automation of data validation and governance.
- Data Pipeline And Solutions Engineering – Pipeline Design
- Independently designs, develops, and optimizes automated and scalable data pipeline architectures using ETL processes to build reusable data products.
- Implements appropriate data storage solutions to store the processed data to be used in a scalable and optimized way for access and analysis.
- Manages the flow of data pipeline and storage day-to-day operations.
- Data Pipeline And Solutions Engineering – Data Solutions Engineering
- Works independently and collaboratively in an agile development environment with other engineers to develop, maintain, and debug data solutions that are scalable, efficient, cost effective, and reliable.
- Writes runnable code and performs testing and debugging of data solutions, independently.
- Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.
- Range and benefit information provided in this posting are specific to the stated locations onlyUS: Hiring Range in USD from: $102,300 to $209,500 per annum. May be eligible for bonus and equity.
- Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
- Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
- Oracle US offers a comprehensive benefits package which includes the following:
- Medical, dental, and vision insurance, including expert medical opinion
- Short term disability and long term disability
- Life insurance and AD&DSupplemental life insurance (Employee/Spouse/Child)
- Health care and dependent care Flexible Spending Accounts
- Pre-tax commuter and parking benefits 401(k) Savings and Investment Plan with company match
Before you apply
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Your profile is current
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Two examples you can talk through
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A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
