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Purpose
Contributes to the overall success of the development of critical data assets/data models serving International Banking Analytics.
The Analytics Engineering Manager will be responsible for architecting, designing, and implementing data pipelines and data bases to be consumed for business intelligence and advanced analytics applications.
Ensures all activities conducted are following governing regulations, internal policies and procedures
Accountabilities
Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
Functions as member of an agile team and helps drive consistent development practices, tools usage, common components, and patterns.
Collaborates with analytics and business teams to build and improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
Direct the identification and recommendation of appropriate solutions.
Performs hands-on design and development with SQL/Bigquery/PySpark/Pandas, Parquet files, Warehousing experience preferably with object storages and Airflow scheduling / orchestration and Big Query.
Spends significant amount of time writing code and testing.
Works with the team to optimize code execution.
Skilled with dimensional modeling and devops processes.
Understand how the Bank's risk appetite and risk culture should be considered in day-to-day activities and decisions.




Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank's Values, its Code of Conduct and the Integral 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.
Champions a high-performance environment and contributes to an inclusive work environment.
Strong verbal and written communication skills, capable of conveying ideas clearly, concisely, and appropriately to different audiences.
Education / Experience / Other Information
4-6+ years experience working as a Data Engineer or Technical Business Analyst.
Team management.
Bachelor's degree in Computer Science or Engineering, or related field or relevant experience.
Strong proficiency in Cloud computing, Data Quality and Governance.
Strong proficiency in GCP, SQL, Python and Spark.
Data modelling, Datalake and warehousing experience would be a plus.
Proficiency with relational databases (Oracle, DB2, Redshift, etc.).
Proficiency with Big Query.
Assets
Experience with Big Data and Cloud Technologies (GCP, Hadoop, MinIO,Presto/Trino, Juipter Hub, AirFlow).
API development experience.
Experience working in Retail/Risk Banking Domain is an asset.
Experience working in an Agile team environment.
Location(s): Colombia : Bogota : Bogota
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Postúlate en Kit Empleo: kitempleo.com.co/empleo/1aa91o

📌 Analytics Engineering Manager (Bogotá)
🏢 Scotiabank
📍 Bogotá