Data Engineer (Remote in US)

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Requirements:

• Strong PL/SQL and SQL development skills.
• Proficient in multiple data engineering languages such as Python and Java.
• Minimum 3-5 years of experience in Data engineering with Oracle and MS SQL.
• Experience with data warehousing concepts and cloud-based technologies like Snowflake.
• Experience with cloud platforms such as Azure.
• Knowledge of data orchestration tools like Azure Data Factory and DataBricks workflows.
• Understanding of data privacy regulations and best practices.
• Experience working with remote teams.
• Familiarity with tools like Git, Jira.
• Bachelor's degree in Computer Science or Computer Engineering.

Responsibilities:

• Design, implement and maintain scalable pipelines and architecture to collect, process, and store data from various sources.
• Unit test and document solutions that meet product quality standards prior to release to QA.
• Identify and resolve performance bottlenecks in pipelines to ensure efficient data delivery.
• Implement data quality checks and validation processes.
• Work with Data Architect to implement best practices for data governance, quality, and security.
• Collaborate with cross-functional teams to address data needs.