Build and maintain large-scale data pipelines with data processing frameworks like Scio on Google Cloud Platform.
Leverage data engineering standard processes in continuous integration and delivery.
Help drive optimization, testing and tooling to improve data quality and reliability.
Collaborate with engineers, product managers, domain experts, and partners while taking on learning and leadership opportunities that arise every day.
Work in multi-functional, agile teams to continuously experiment, iterate, and deliver on new product objectives.

Requirements

You have at least 3+ years of professional experience working in a product-driven environment.
You have experience working with high-volume, heterogeneous data using distributed systems and big data technologies such as Scala (e.g., Scio), Apache Spark, or similar frameworks used for distributed data processing.
You are proficient in designing and building distributed data pipelines, preferably in Scala or Java, and demonstrating frameworks like Scio on platforms such as Dataflow.
You understand data modeling, data access, and data storage techniques, and can apply them to both batch and analytical processing (e.g., using BigQuery for analysis).
You value iterative software processes, data-driven development, reliability, and responsible experimentation, with attention to cost efficiency and standards in data engineering.
You thrive in collaborative environments and enjoy working with multi-functional teams.
You are a creative problem solver who is passionate about building outstanding products that add real value to millions of people.
You are enthusiastic about learning more about turning research ideas into products operating at scale.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

data pipelinesdata processing frameworksScioGoogle Cloud PlatformScalaApache Sparkdistributed systemsdata modelingdata accessdata storage techniques

collaborationleadershipproblem solvingcreativityadaptabilitycommunicationteamworkattention to detailresponsible experimentationcost efficiency