Data Engineer

Job Responsibilities:

• Develop enterprise level Python data transformation jobs, containerizing it and CI/CD for DTAP (Dev, test, acc and prod environments) process
• Review and development/maintenance of documentation of the currently deployed architecture
• Technical analysis of requested changes, including suggestions of improvements to system performance
• Provide technical review and information to other non-technical staff and vendor technical staff
• Review and/or supervise the work of others
• Collaborate with other teams and departments
• Data modeling, designing and managing custom solutions
• Showcase Data warehousing techniques/best practices,
• Analyze the reported problem/request
• Identify the necessary data elements
• Propose and implement end-to-end solutions. Every development will be expected to be deployed automatically by a CI/CD pipeline process in this position.
• Coordinate of or perform requested research and the analysis required for work proposals, software and systems modifications, and new projects.
• Oversee the analysis, designs, plans, diagrams, and verify procedures for existing and proposed applications.
• Provide technical advice, assistance, and recommendations in matters related to programming operations and problems, including Production issues.

Qualifications:
• Must have at least 7+ years of experience in Python (those who have less than 7 years of experience may still be considered depending on the overall skillset).
• Hands-on experience in Data Engineering and building pipelines. Knowledgeable in Data warehousing and Data modeling
• Must have extensive experience in CI/CD is a must
• Must have extensive experience in different databases such SQL, MSSQL, MYSQL, Oracle, and others
• Knowledgeable in Data cleansing and Data transformation