Data Engineer

Join Loopio's Data Engineering Team, where you'll play a crucial role in transforming the RFP response process into a seamless experience. As a Data Engineer, you'll build and support data pipelines for analytics, partner with various teams, and promote data-driven decision-making across the organization. You'll work with cutting-edge technologies and have the opportunity to make a significant impact on the company's growth and success.

Construire et soutenir la livraison de pipelines de données utilisés pour l'analyse, tant en interne par les équipes de Loopio que dans la plateforme Loopio pour nos clients.

Promouvoir la prise de décision basée sur les données à travers l'organisation grâce à une expertise en matière de données.

Whether or not your experience ✅ checks off all the boxes on a job posting, we still encourage you to apply to ensure that your application receives a review from our team

We recognize that all too often, potential candidates don’t apply for a position simply because they don’t hit every single criteria included in the job description—particularly members of underrepresented groups

We understand that a resume can only showcase so much during the applicant stage, so we've created prompts in the application for you to share more about yourself. If you've made a career transition (or a few!), you’re self taught in a new role, or you have skills/experience you’d like to highlight, we want to hear more about what you could bring to the table

Responsibilities

• Collaborer étroitement avec les ingénieurs ML, les architectes et les scientifiques des données, les chefs de produit et d'autres parties prenantes pour maximiser la valeur des données de Loopio.

Requirements

• Our perfect candidate has deep technical skills and is comfortable working in an evolving technology infrastructure
• Experience working with data visualization and BI platforms (Quicksight, Tableau, Sisense, etc)

Strong communication, collaboration, and analytical skills

• Experience with ETL & Data warehousing, building Inmon/Kimball/Data Vault models
• Experience in either Python (preferrably), or other common programming language (Scala, Java) for data manipulation purposes
• Strong understanding of relational databases (RDS/Aurora) and NoSQL engines (Redis/DynamoDB/Neptune/etc)
• Experience building and supporting large-scale systems in a production environment
• Strong understanding of database concepts, modeling, SQL, query optimization
• Hands-on experience with the AWS services (RDS, S3, Redshift, Glue, Quicksight, Athena, ECS)
• Ability to learn fast and translate data into actionable business results

Experience working with Clickstream data (Amplitude, Pendo, etc)

• 3+ years experience in a data engineering or a similar role
• Experience in a high growth agile software development environment
• Experience with MPP frameworks such as Spark / Flink
• Ability to clearly communicate technical roadmap, challenges, and mitigation
• Demonstrated ability to work with a high degree of ambiguity, and leadership within a team (mentorship, ownership, innovation)
• Experience with CI/CD tools (Jenkins) and pipeline orchestration tools (Databricks Jobs, Airflow)
• Experience with Natural Language Processing techniques

Preferred

• Experience with container orchestration (leveraging tools like Docker, ECS, Kubernetes)
• Experience working with BI PaaS / SaaS solutions
• Experience with graph-like data and corresponding data engines (Neo4J, Neptune, GraphFrames)
• Experience in AI-augmented SDLC