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- 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.
- 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.
PythonSQLETLGitJavaOracleQASnowflakeJiraAzureData engineeringCI/CD
Posted 2024-11-21
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