Senior Data Engineer at Red Hat designing and optimizing 데이터 솔루션 supporting sales and forecasting. Collaborating with teams and applying modern data engineering practices to ensure data quality.
About the role
- Data Engineer specializing in data architecture and solutions for a banking environment, driving value for customers through innovative engineering practices and technologies in data management.
Responsibilities
- Driving value for customers by building data solutions
- Carrying out data engineering tasks to build, maintain, test and optimise a scalable data architecture
- Performing data extractions, transforming data for usability by data analysts and scientists, and loading data into data platforms
- Developing comprehensive knowledge of the bank’s data structures and metrics, advocating change for product development
- Practicing DevOps adoption in data engineering delivery, proactively performing root cause analysis
- Collaborating closely with core technology and architecture teams to build data knowledge and solutions
- Developing an understanding of data platform cost levers for strategic solutions
- Sourcing new data and integrating it into the overall solution for customers
Requirements
- At least six years of experience in Data Engineering, PySpark, Python and SQL
- Experience of ETL technical design, including data quality testing, cleansing and monitoring, and data warehousing and data modelling capabilities
- Experience using programming languages alongside knowledge of data and software engineering fundamentals
- Good knowledge of modern code development practices
- Strong communication skills with the ability to proactively engage with a wide range of stakeholders.
Benefits
- Professional development opportunities
- Health insurance
- Paid time off
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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