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Data Engineer

Atlantic Packaging Products Ltd - 59 Jobs
Toronto, ON
Full-time
Experienced

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.

THE OPPORTUNITY:

The Data Engineer is an integral team member of Atlantic's Data Analytics team and an expert who understands Data Engineering and Data Architecture and its tools well. The successful applicant will ultimately be responsible for developing and administrating Databases across the organization, helping us build the data lake and transforming raw data from multiple source systems to create an Enterprise Data warehouse and Data Lake. The Data Engineer would lead the efforts to help consolidate data via various sources to enable a robust reporting environment.

Location: Scarborough, Ontario (currently hybrid)

What you will be doing:

  • 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.

What you will bring to the table:

  • University Degree in Computer Science or Statistics or a related major.
  • 5+ years of experience in database development and administration
  • In-depth understanding of database management systems and ELT (Extract, Load and Transform)
  • In-depth experience with creating SQL queries, SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS)
  • Advanced knowledge of query optimization, index management, statistics, and partitioning
  • Experienced in building complex scripts, queries, and stored procedures without compromising data quality, privacy, or security
  • Forward-thinking infrastructure automation and scripting skills.
  • Experience with big data architectures and modelling to process large volumes of data efficiently.
  • Comprehensive knowledge of data platform architecture, data modelling, database optimization, data management practices and processes.
  • Experience in data governance, data governance tools, ingestion and extraction frameworks, data security, etc.
  • Well-versed in programming languages like SAS, R, Python, MATLAB, Java, VBA and Excel.
  • Proficient in database management of SQL and NoSQL.
  • Ability to work with stakeholders and to assess potential risks.
  • Understands the need for documentation and well-defined procedures.
  • Knowledge of Domo or Power BI would be an asset.
  • Experience working on cloud Data Lake platforms like AWS and Azure will be an asset.
  • The ability to communicate fluently in French would be an asset.

Atlantic Packaging is dedicated to fostering an inclusive environment where all colleagues and customers feel valued and supported. We are committed to developing our team to reflect the diversity of our communities in which we live and work and seek applicants with a wide range of abilities. If you require accommodation, please contact [email protected]

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