Data Engineers | Up to 196K Pay with Good Incentives

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

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Capstone Global Technology Corporation

Our foundation is built on innovation, fueled by a diverse and passionate team of experts, engineers, and visionaries who share a collective dream of making the impossible possible. From artificial intelligence and quantum computing to biotechnology and renewable energy, we are pioneers in domains that define the future.
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