Data Engineer Lead

hace 5 días


Bogotá, Bogotá D.E., Colombia ScotiaTech A tiempo completo

Purpose

Leads and oversees the Development and Operation of critical data assets/data models serving International Banking Analytics, ensuring business strategies, plans and initiatives are executed / delivered in compliance with governing regulations, internal policies, and procedures.

Accountabilities

  • Leads and drives a customer focused culture throughout their team to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
  • Functions as senior member of an agile team and helps drive consistent development practices, tools usage, common components, and patterns.
  • Guides data development teams through coaching sessions or mentorship to secure full understanding of Operational model and development practices.
  • Follows product leader and product owner direction to ensure requirements are met and delivered accurately and in a timely manner.
  • Manage developers' team to maintain a high quality for data pipelines and data models via the establishment of good habits and practices.
  • Observe standardized development practices across the entire data cycle, stablishing collaboration with data producers and data consumers. Closing resource and dedication gaps when required.
  • Support the creation and review of processes and technical artifacts supporting the creation of pipeline documentation (code location, purpose, ownership, processing logic, etc.)
  • Understand how the Bank's risk appetite and risk culture should be considered in day-to-day activities and decisions.
  • Creates an environment in which his/her team pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank's Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
  • Builds a high performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment and using a coaching mindset and behaviours; communicating vison/values/business strategy; and, managing succession and development planning for the team.

Requirements:

  • Required to be proficient in English
  • Bachelor's degree in Computer Science or Engineering, or related field or relevant experience
  • Industry experience as a project leader/manager
  • 5+ years experience working as a Data Engineer Lead and/or Data architect.
  • Strong proficiency in SQL , Spark and Google Cloud
  • Data modelling and warehousing experience would be a plus
  • Proficiency with relational databases (Oracle, DB2, MYSQL, Redshift, etc.)

Assets

  • Proficient in a variety of languages including Python, Scala, Javascript
  • API development experience
  • Experience working with PowerBI
  • Experience in microservices architectures would be a plus
  • Experience working with distributed computing technologies (Spark , Kafka , Hive , Trino)
  • Experience working in an Agile team environment.
  • Industry experience with big data technology.
  • Experience working in Retail/Risk Banking Domain is an asset


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