Senior Data Analytics Developer, Coveo Solutions Inc.

Responsibilities:

• Collaborate with cross-functional teams to define data requirements and implement efficient data pipelines for comprehensive analysis of user interactions within applications.
• Build scalable data pipelines that can handle hundreds of millions of events daily.
• Optimize data processing by setting up pre-calculations in data storage solutions to enhance the performance of reporting dashboards.
• Continuously improve system performance and ensure the analytics tools are current with industry standards.
• Provide support to team members by assisting with data extraction and queries analysis, fostering a collaborative environment.
• Coordinate with teams responsible for product integration to ensure adherence to data standards and protocols across applications.

Requirements & Skills:

• You have 5 years of experience in a similar role, with expertise in building data pipelines, data models, and analytics for large-scale distributed systems.
• You possess a strong engineering background, with hands-on experience in Python, dbt, Snowflake, and/or Databricks.
• You have in-depth knowledge of SQL, ETL processes, data warehousing, and Data Lake architecture.
• You have experience with automated testing frameworks and a commitment to code quality, including unit testing, integration testing, and code coverage metrics.
• You excel at working collaboratively with cross-functional teams and possess exceptional written and verbal communication skills on both technical and non-technical subjects.
• You have experience with Cloud Providers: Proficiency in AWS, Google Cloud Platform, or Azure.

What would make you stand out:

• Experience with PySpark and structured streaming.
• Experience with orchestrating complex workflows using tools such as Airflow, Dagster, or Prefect.
• Familiarity with infrastructure as code and with CI/CD tools such as Jenkins, Github Actions, etc to automate testing, deployment, and integration processes.
• Hands-on experience with containerizing applications and managing them at scale using orchestration platforms.