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The Data Engineer is accountable for developing high quality data products to support the Bank's regulatory requirements and data driven decision making. A Data Engineer will serve as an example to other team members, work closely with customers, and remove or escalate roadblocks. By applying their knowledge of data architecture standards, data warehousing, data structures, and business intelligence they will contribute to business outcomes on an agile team.
Job Responsibility:
Developing high quality data products to support the Bank's regulatory requirements and data driven decision making
Serving as an example to other team members
Working closely with customers
Removing or escalating roadblocks
Contributing to business outcomes on an agile team
Requirements:
5-8 years of relevant experience
Experience with 'big data' platforms such as Hadoop, Hive or Snowflake for data storage and processing
Good exposure to data modeling techniques
Design, optimization and maintenance of data models and data structures
Proficient in one or more programming languages commonly used in data engineering such as Python, PySpark
Understanding of Data Warehousing concepts
Demonstrated problem-solving and decision-making skills
Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
Bachelor's degree/University degree or equivalent experience
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