Data Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Design, enhance, and scale data platforms along with ETL pipelines.

• Advocate for data-driven decision-making throughout the organization.

• Develop automation tools for data orchestration, evaluation, testing, monitoring, administration, and operations.

• Incorporate clickstream, relational, and unstructured data sources into the data lake.

• Create and maintain a feature store for analytics and modeling purposes.

• Collaborate with data scientists to develop predictive models for Loopio’s product and internal teams.

• Engage with business stakeholders to comprehend data requirements and establish supporting processes.

• Construct scalable data pipelines utilizing Databricks, AWS Redshift, S3, RDS, and other cloud technologies.

• Establish and maintain the Redshift data warehouse and Databricks Delta Lake.

• Manage pipeline orchestration using workflow frameworks and tools.

• Work in partnership with ML Engineers, Architects, Data Scientists, Product Managers, and business stakeholders.

⛳️ Requirements

• Over 3 years of experience in data engineering or a related field.

• Proficient understanding of database concepts, modeling, SQL, and query optimization.

• Python experience is preferred, or proficiency in another common programming language like Scala or Java for data manipulation.

• Practical experience with AWS services such as RDS, S3, Redshift, Glue, QuickSight, Athena, and ECS.

• Strong grasp of relational databases like RDS/Aurora and NoSQL engines such as Redis, DynamoDB, or Neptune.

• Familiarity with ETL processes, data warehousing, and models like Inmon, Kimball, or Data Vault.

• Experience with MPP frameworks including Spark or Flink.

• Background in CI/CD tools like Jenkins and pipeline orchestration tools such as Databricks Jobs or Airflow.

• Proficient in data visualization and BI platforms such as QuickSight, Tableau, or Sisense.

• Experience working with clickstream data and tools like Amplitude or Pendo.

• Background in a fast-paced agile software development environment.

• Proven experience in building and supporting large-scale production systems.

• Excellent communication, collaboration, and analytical skills.

• Demonstrated leadership, mentorship, ownership, and ability to navigate ambiguity.

• Ability to effectively communicate technical roadmaps, challenges, and solutions.

• Candidates must possess legal authorization to work in Canada without employer sponsorship.

• Familiarity with container orchestration tools like Docker, ECS, or Kubernetes is a preferred qualification.

• Knowledge of BI PaaS/SaaS solutions is a preferred qualification.

• Experience with Natural Language Processing techniques is a preferred qualification.

• Familiarity with AI-augmented SDLC is a preferred qualification.

• Experience with graph-like data and engines such as Neo4J, Neptune, or GraphFrames is a preferred qualification.

🏝️ Benefits

• Equity.

• Flexible remote-first work arrangements.

• Flexible co-working locations available in Toronto and Vancouver.

• Professional development allowance for learning and skill enhancement.

• Health and wellness benefits starting from day one.

• MacBook laptop provided.

• Monthly subsidy for phone and internet expenses.

• Budget allocated for work-from-home expenses.

• Supportive remote-first culture with opportunities for connection.

• Regular town halls, AMAs, and company celebrations.

• Employee Resource Groups available.

• Continuous feedback and regular one-on-one meetings.

• Recognized as an award-winning workplace.