Data Engineers - Up To 196K

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
- Konwledgeable in Data cleansing and Data transformation