Data Engineer

at  Atlantic Packaging Products Ltd

Toronto, ON, Canada -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate17 Oct, 2024Not Specified17 Jul, 2024N/AGood communication skillsNoNo
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Description:

OVERVIEW:

From corrugated packaging, paper bags, retail displays, pre-print, supply and inventory management, paper mills and recycling, Atlantic is strategically positioned to provide customers with a total packaging solution.

Responsibilities:

  • Design, build, and automate data flows while evaluating and improving existing data systems.
  • Experience in building SQL data warehouses from scratch.
  • Study, analyze and understand business requirements in context to business intelligence and be able to convert requirements into technical specifications and decide the timeline to accomplish tasks.
  • Design and implement data models and schemas to support the needs of data analysts, and other stakeholders.
  • Led the development of centralized data storage across the organization while enabling our journey for a data lake
  • Perform data analysis and comparisons across multiple data sources/systems in support of time-sensitive business needs, provide beneficial insights, and help the team make more informed decisions.
  • Evaluate current state of data access control regarding authentication, authorization and encryption practices across IS systems. Develop and support remediation strategy.
  • Develop and update technical documentation.
  • To create charts and document data with algorithms, parameters, models, and relations explanations
  • To conduct and maintain data warehouse development.
  • Build multi-dimensional data models.
  • Develop strong data documentation about algorithms, parameters, models.
  • To define and design new systems by analyzing current ETL processes.
  • Make essential technical and strategic changes to improve present business intelligence systems and enhance their functioning.
  • Develop and maintain data warehousing solutions to store and manage structured and unstructured data efficiently.
  • Version control systems like Git to manage code and configuration changes related to data pipelines.


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

IT Software - DBA / Datawarehousing

Software Engineering

Graduate

Proficient

1

Toronto, ON, Canada