Senior Data Engineer New Montreal

2 months ago

Montreal, Quebec, Canada Industrious Full time
About Industrious

Industrious is a leading provider of premium workplace-as-a-service solutions, renowned for delivering exceptional experiences to teams of all sizes and stages. Our mission is to create great days for our members and their teams, fostering a collaborative and inclusive environment that encourages innovation and growth.

Job Summary

We are seeking a highly skilled Senior Data Engineer to join our team. As a key member of our data infrastructure team, you will play a pivotal role in enhancing our data infrastructure, optimizing data pipelines, and ensuring reliable and efficient data delivery for our organization.

Key Responsibilities
  • Data Solution Design and Development: Architect, build, and deploy scalable and maintainable data solutions, including data pipelines, APIs, scheduled jobs, and workers.
  • Data Modeling and Optimization: Design and implement efficient data models, ensuring data integrity, performance, and scalability. Optimize data storage and retrieval processes to improve overall system performance.
  • Data Quality Assurance: Implement data quality checks, validations, and cleansing processes to ensure data accuracy, consistency, and reliability throughout the analytics systems.
  • Collaboration and Documentation: Collaborate with cross-functional teams to understand their data requirements and provide technical guidance. Document data engineering processes, workflows, and best practices.
  • Monitoring and Maintenance: Monitor data pipelines, proactively identify and resolve issues, and ensure high availability and performance of the data analytics systems. Implement proper data backup and recovery strategies.
  • Security and Compliance: Implement data security and privacy measures, adhering to industry standards and regulatory requirements such as GDPR or CCPA.
  • Continuous Improvement: Stay up to date with the latest trends and advancements in data engineering and analytics. Propose and implement enhancements and optimizations to improve the overall efficiency and effectiveness of our data infrastructure.
  • Support Consumers of Data: Listen carefully to what users want out of data and support their needs. Import new data sources when necessary, and mentor stakeholders into how to consume their relevant data in our reporting tool.
Requirements
  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • Proven experience as a Data Engineer, with at least 5 years of experience in a previous role.
  • Master of a programming language, such as Python, with a preference for Typescript.
  • Experience with data pipeline tools and frameworks, including AirFlow, DBT, Kafka, Stitch, etc.
  • In-depth knowledge of relational databases, with a preference for PostgresQL and AWS Redshift.
  • Familiarity with cloud-based data storage and processing platforms, such as AWS.
  • Familiarity with business intelligence reporting tools, including Tableau, QuickSight, Looker, etc.
  • Proficiency in version control systems, such as Git, and agile development methodologies.
  • Solid understanding of data governance, security, and compliance practices.
  • Strong problem-solving skills and ability to work in a fast-paced environment.
  • Excellent communication skills, both verbal and written.
  • Attention to detail and a commitment to delivering high-quality work.

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