Senior Data Architecture Specialist

3 weeks ago

Greater Toronto Area, Canada Capgemini Full time

About Tundra Technical Solutions

Tundra Technical Solutions is a leading provider of Staffing and Consulting Services. Our success and our clients' success are built on a foundation of service excellence.

Job Summary

We are seeking a skilled Data Engineer to join our team. As a Data Engineer, you will play a pivotal role in transforming operations by ensuring high-quality data and efficient tooling.

Responsibilities:

  • Design, document, build, and maintain robust data pipelines to collect, process, and store data from various sources.
  • Develop data models that support efficient data analysis for merchandising optimization, ensuring data quality, consistency, and accuracy.
  • Build scalable data pipelines using technologies like SparkSQL, Scala, and Python within an Airflow scheduling framework.
  • Collaborate with Data Scientists, Product Managers, Operations, Finance, and Software Engineers to define data requirements and deliver impactful data solutions for merchandising and sales.
  • Analyze large data sets to identify gaps, inconsistencies, and provide actionable insights.
  • Contribute to the broader Data Engineering community, influencing tools and standards to enhance productivity and code quality.
  • Implement effective monitoring and logging practices to maintain high-performance systems.
  • Communicate effectively with non-technical stakeholders to clarify technical aspects and project impacts.

Qualifications:

  • Bachelor's degree or equivalent practical experience.
  • Proficiency in relational databases and query authoring with SQL, Scala, and Python.
  • Experience with Big Data technologies such as Hadoop, Hive, Spark, Presto, Flink, and Kafka.
  • Ability to architect and develop solutions to complex, ambiguous problems with integrations across multiple teams.
  • Experience in creating high-performance systems with reliable monitoring and logging.
  • Strong collaborative skills to work effectively with cross-functional teams, including design, product, data science, and research partners.
  • Bonus: Experience with leveraging Large Language Models (LLMs).

Skills Summary:

  • Programming Languages: SQL, Scala, Python
  • Big Data Technologies: Hadoop, Hive, Spark, Presto, Flink, Kafka
  • Data Engineering Tools: Airflow, SparkSQL
  • Collaboration & Communication: Cross-functional teamwork, non-technical stakeholder communication
  • Design & Architecture: Data pipeline design, data modeling, high-performance system design

Compensation and Benefits

The estimated salary for this position is $25.43 - $39.73 per hour. We offer a comprehensive benefits package, including medical, dental, vision, and retirement benefits. Applications will be accepted on an ongoing basis.

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