Senior Data Engineer: Scalable ETL & Data Governance

Oracle; Cleveland (OH); On-site; USD 102,000 - 210,000; Full time

Job summary

Oracle in the United States is seeking a Data Engineer to design and build robust data pipelines for diverse sources, reinforcing data quality and governance. You will implement scalable ETL architectures, automate validation, and collaborate in an agile team to deliver reliable data products.

Ideal candidates have strong experience in data processing, pipeline optimization, and data governance, with a track record of delivering scalable solutions in a fast-paced environment.

Qualifications

• Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements.
• Proven experience designing and building data pipelines and ETL processes.
• Strong knowledge of data governance, privacy, and security standards.
• Experience with data validation, quality checks, and automated governance.
• Ability to work in an agile team and collaborate with cross-functional partners.
• Excellent problem-solving and data troubleshooting skills.
• Proficiency in SQL, Python, and data storage concepts.

Responsibilities

• Identifies data requirements and business objectives with cross-functional teams.
• Designs and builds data pipelines for diverse data sources.
• Independently analyzes, designs, and troubleshoots data flows.
• Translates business needs into technical specifications.
• Optimizes ETL pipelines for performance and scalability.
• Implements data governance, retention, and security measures.
• Defines success/failure thresholds for data pipelines.
• Works in an agile environment to develop and debug data solutions.
• Automates data validation and governance processes.

Skills

Data pipelines

ETL processes

Data governance

Data validation

Agile development

Cross-functional teams

Troubleshooting

Data quality

Automation

Data storage

SQL

Python

Spark

ETL tools

Tools

SQL

Python

Spark

ETL tools

Job description

Oracle in the United States is seeking a Data Engineer to design and build robust data pipelines for diverse sources, reinforcing data quality and governance. You will implement scalable ETL architectures, automate validation, and collaborate in an agile team to deliver reliable data products.

Ideal candidates have strong experience in data processing, pipeline optimization, and data governance, with a track record of delivering scalable solutions in a fast-paced environment.