Data Engineer

About the role

TAKE YOUR CAREER TO NEW HEIGHTS WITH LOOPIO! 🚀✨

Loopio’s Data Engineering Team works together on a mission to transform the RFP response process into a rapid and seamless experience. Our team works across all platform portfolio features and delivers innovative solutions where it matters the most for our customers.

We are looking for an experienced Data Engineer to build and support the delivery of data pipelines, used for analytics both internally by Loopio’s teams, embedded within the Loopio platform for our customers. Our perfect candidate has deep technical skills and is comfortable working in an evolving technology infrastructure. This is a unique opportunity to join a growing team of creative and passionate individuals committed to solving real world problems. You will empower engineers, product, and data scientists with tools that enable and streamline data-driven decision making, analysis, and feature development.

You will partner closely with ML Engineers, Architects and Data Scientists, Product Managers, and other business stakeholders to help us take Loopio’s data value to the next level.

Note: This is an existing vacancy on the team

WHAT YOU’LL BE DOING

- Be responsible for building, evolving and scaling data platforms and ETL pipelines, with an eye towards growth of our business and reliability of our data

- Promote data-driven decision making across the organization through data expertise

- Build advanced automation tooling for data orchestration, evaluation, testing, monitoring, administration, and data operations

- Integrate various data sources into our Datalake, including clickstream, relational, and unstructured data

- Developing and maintaining a feature store for use in analytics & modeling

- Partner with data scientists to create predictive models to help drive insights and decisions, both in Loopio’s product and internal teams (RevOps, Marketing, CX)

- Work closely with stakeholders within and across teams to understand the data needs of the business and produce processes that enable a better product and support data-driven decision-making

- Build scalable data pipelines using Databricks, and AWS (Redshift, S3, RDS), and other cloud technologies

- Build and support Loopio’s data warehouse (Redshift) and data lake (Databricks deltalake)

- Orchestrate pipelines using workflow frameworks / tooling

WHAT YOU’LL BRING TO THE TEAM

- Strong understanding of database concepts, modeling, SQL, query optimization

- Ability to learn fast and translate data into actionable business results

- Experience in either Python (preferrably), or other common programming language (Scala, Java) for data manipulation purposes

- Hands-on experience with the AWS services (RDS, S3, Redshift, Glue, Quicksight, Athena, ECS)

- Strong understanding of relational databases (RDS/Aurora) and NoSQL engines (Redis/DynamoDB/Neptune/etc).