Senior Data Engineer

The Role You Will Have:

• Designing and developing data processing infrastructure.
• Developing new and improving existing data pipelines, extracting from external API sources or internal events.
• Developing self-serve data solutions, self-correcting robust ETL pipelines.
• Continuously improving monitoring and alerting coverage.
• As a Sr. Engineer, this role will provide mentorship to colleagues in/outside of the immediate team.
• Self-driving proof of concept for new technologies, new patterns and writing technical specifications for data architecture projects.
• Identifying complex scaling bottlenecks and how to prevent them, and communicating updates to stakeholders.
• Performing maintenance of existing infrastructure, investigating issues and failures.
• Conducting SQL data investigations, and optimizations.
• Participate in peer code reviews and produce high quality documentation.

What You Will Bring:

• Bachelor’s or Master’s degree in Computer Science/Engineering.
• Very strong SQL proficiency, and SQL query optimization experience is required.
• Extensive expertise in Python programming is required. Scala, Java experience is a bonus.
• Excellent communication skills.
• Proponent of strong software production engineering practices, version control, code peer reviews, automated testing, and CI/CD.
• Experience in AWS cloud is required. GCP, Azure are preferred.
• Proficiency with one of the Cloud data-warehouses / data-lakes like Snowflake, Google BigQuery, AWS Redshift, Azure Synapse, Databricks.
• Hands-on experience with modern orchestration platforms, such as Airflow.
• Experience in relational databases like Postgres, MySQL, Oracle or SQL Server required.
• Experience in non-relational technologies like MongoDB, Redis, DynamoDB or Cassandra is preferred.
• Applications and data-flow development in the Hadoop ecosystem is a plus.
• Deep understanding of data engineering fundamentals, ELT / ETL, latency, observability, lineage, distributed storage and distributed computing.
• Excellent data modeling skills, database design, relational/non-relational.
• Very comfortable with exploring new technologies, leveraging new patterns, designing new data architectures, and creative problem solving.
• Familiarity with docker, kubernetes containerization strategies and optimization is preferred.
• Working knowledge of dbt and jinja macros, dbt docs, dbt test is preferred, but not required.
• Any experience collaborating with business intelligence, data analytics, data science stake-holders is a strong plus.
• Strong Linux skills.

What We Have to Offer:

• Competitive salary + bonus + equity
• Generous PTO + 11 company holidays
• Open sick time
• Medical, Dental & Vision 
• RRSP w/matching
• Paid professional development
• Leadership & growth opportunities
• Virtual company and team building events