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Analytics Engineer Specialist - Scotiatech Job Opening In Bogotá – Now Hiring Scotiabank


Job description

Requisition ID: 232023


We are committed to investing in our employees and helping you continue your career at ScotiaTech.

 

Purpose

Enable strategic decision-making through organized and consistent data that serves as a single source of truth.

Building reusable and authoritative datasets for consumption by analytics and business teams on the cloud is at the heart of what we do.



Accountabilities

  • Build and maintain data pipelines using Cloud technologies.

  • Write efficient queries for both exploration and automation efforts that are part of a well-established modeling and schema design process.

  • Deliver and enhance new and current data products.

  • Effectively explain data insights and issues to technical and non-technical audiences.

  • Champion a high-performance environment and contribute to an inclusive workplace.
  • Reporting Relationships 

  • Primary Manager:(include secondary Manager if applicable)

  • Customer Insights Data & Analytics (CID&A) – Global Analytics Engineering

  • Direct Reports: Not Applicable

  • Shared Reports: Not Applicable
  • Dimensions

  • No direct reports.

    Direct reporting line to CID&A with a dotted line on GBS.

    Portfolio of multiple standard data products.

    No budget or financial oversight.

  • Multiple and at times conflicting priorities arise; with most work required under tight project deadlines

  • Education / Experience / Other Information 

  • Bachelor’s degree in computer science, Data Engineering, Information Technology, or related field.

  • Minimum 1-2 years of technical experience in development, debugging, and testing data (SQL and/or Python).

  • Demonstrated experience supporting the building and maintenance of data pipelines using Cloud based tools; like DBT, Composer/Airflow or Big

  • Query, preferably as part of a team or under the guidance of senior engineers.

  • Advanced to expert level proficiency in SQL, including an understanding of SQL Engine, complex queries, optimization, advanced performance tuning, data modeling, schema design, and data warehousing concepts.

  • Medium level knowledge of scripting languages such as Python and Bash.

  • Able to write well-crafted, well-tested, readable, and maintainable code.

  • Experience working with version control tools in collaborative environments.

  • Familiarity with infrastructure-as-code tools (e.g., Terraform, CloudFormation) and monitoring solutions (e.g., Cloud Monitoring, Prometheus, elementary-data) as well as CI/CD pipelines and automation tools is a plus.

  • Bilingual (English/Spanish) language skills with a working knowledge of English equivalent to B1 or higher.

  • Strong problem-solving abilities and good analytical and organizational skills.

  • Self-motivated and detailed, results oriented, and able to work in a fast-paced environment.
  • Working Conditions

  • Hybrid work; working hours might align to the eastern time zone.

  • Required Skill Profession

    Computer Occupations


    • Job Details

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