Banking + 2 more
Description
▪ Bachelor’s Degree in Computer Science, Data Science, Information Technology, Engineering, or a related field.
▪ Professional Data Engineer Certification is a plus.
▪ Extensive knowledge of data warehousing concepts, including dimensional modelling and data marts.
▪ Minimum of 5 years in data engineering, data architecture, or a related field.
▪ Experience in leading data projects or teams is highly desirable.
▪ Advanced proficiency in SQL and NoSQL with hands-on experience creating complex queries and data transformations.
▪ Proven experience with cloud-based data engineering tools such as Cloud Storage, Data flow, Cloud Composer, Cloud Functions, and AWS Glue.
Responsibilities
▪ Set up, manage, and maintain the company’s data analytics systems, including the operational data store, feature store, and data warehouse, to support informed decision-making.
▪ Create and manage processes (ETL/ELT) for collecting, cleaning, and transforming data from different sources.
▪ Build and improve data structures to support reporting, advanced analytics, and machine learning projects.
▪ Ensure data queries run efficiently while keeping costs low and making the best use of resources.
▪ Work closely with technology and data analytics teams to develop customized data solutions and include machine learning insights.
▪ Set up and manage machine learning workflows to make sure models run smoothly and reliably.
▪ Implement data quality checks, follow governance rules, and enforce security to protect and control access to data.
▪ Automate tasks and improve processes using tools to ensure stable and scalable data pipelines.
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