Data Engineer – Python
3 weeks ago
- Bachelor's degree in Computer Science or related field plus 5+ years of relevant work experience in Python, PySpark and Oracle
- Responsible for technical design, writing, support and operations of efficient, scalable, and extensible data integrations and ingestions & participate in architecture and design efforts.
- Conduct PoCs for new technology exploration e.g., DBT for implementing SCD
- Understanding of enterprise data management concepts of (Data Governance, Data Engineering, Data Science, Data Lake, Data Warehouse, Data Sharing, Data Applications
- Expertise with Snowflake concepts like setting up resource monitors, RBAC controls, virtual warehouse, query performance tuning, zero copy clone, time travel and understand how to use these features.
- Provide technology architectural assessments, strategies, and roadmaps for one or more technology domains.
- Collaborate with the customer's operations and technology leadership on the future analytic goals of the organization and design a technical architecture to meet those goals. Participate in configuring the architecture and advise engineering teams on its efficient use.
- Develop scalable production ready data integration and processing solutions.
- Strong Oral and Communication skills and client facing skills are mandatory.
Tell employers what skills you have
PySpark
Data Sharing
Oracle
Architectural
Data Management
Data Integration
Technology Leadership
Data Governance
Data Engineering
Design Writing
SQL
Python
Writing
Technical Architecture
Performance Tuning
Data Science
Technical Design
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Data Engineer – Python
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