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.
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
Job Types: Full-time, Permanent
Pay: Php131,- 00 - Php196,000.00 per month
Benefits: - Health insurance
Opportunities for promotion
Pay raise- Promotion to permanent employee
Schedule: Monday to Friday
Supplemental pay types:
Bonus pay Overtime pay
Application Question(s):
- Kindly indicate your email.
* Kindly indicate your contact number.
