DATA ENGINEER

• 1. Designs and builds data storage solutions including database objects and data structures, data ingestion pipelines
• 2. Develops data transformation, cleansing, and preparation processes.
• 3. Perform job optimization/automation via code enhancement, configuration, or implementation of new tools/technology
• 4. Perform unit testing and system integration testing.
• 5. Maintain and monitor platform stability and performance of EDP. Execute updates, patches, and other activities required to maintain and
• enhance operations.
• 6. Ensures compliance with governance standards of the platform, security policies, and SDLC processes.
• 7. Collaborate with cross-functional teams to identify data needs and opportunities for improvement
• 8. Develop and maintain documentation related to data engineering and analytics processes and procedures
• 9. Perform Proof of Concept on new integration and analytic patterns and solutions
• 10.Contribute to best practices and standards for the data engineering team

Must-have:

• 1. Experience on Data projects is a MUST (at least 1 end to end project)
• 2. Experience in using Databricks and Azure (certifications preferred)
• 3. Experience in SQL, Python (Pyspark)
• 4. Knowledge in Data Warehouse and Data Mart concepts and query optimization techniques