Data Engineer (Remote in US)

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Requirements:

• Strong PL/SQL, SQL development skills.
• Proficient in multiple data engineering languages such as Python and Java.
• 3-5 years of experience in data engineering specific to Oracle and MS SQL.
• Experience with data warehousing technologies and cloud-based services like Snowflake.
• Experience with cloud platforms such as Azure and infrastructure knowledge.
• Familiarity with data orchestration tools like Azure Data Factory and DataBricks workflows.
• Understanding of data privacy regulations and best practices.
• Experience working on a remote team.
• Familiarity with CI/CD processes and tools like Git, Jira.

Responsibilities:

• Design, implement, and maintain scalable data pipelines and architecture.
• Unit test and document solutions to meet product quality standards.
• Identify and resolve performance bottlenecks in data pipelines.
• Implement data quality checks and validation processes.
• Collaborate with cross-functional teams to address data needs.
• Ensure technology solutions support customer and organizational needs.
• Define and document technical requirements.