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    Staff Data Engineer - Ottawa, ON, Canada - Tree Trust

    Tree Trust
    Tree Trust Ottawa, ON, Canada

    1 week ago

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    Description

    Data and Analytics, Ottawa, Canada / Canada - Remote

    SurveyMonkey is a global leader in online surveys and forms that empowers people with the insights they need to make decisions with speed and confidence. Our fast, intuitive feedback management platform connects millions of users worldwide with real-time AI-powered insights that drive meaningful decisions. We provide answers to more than 20 million questions every day so that people and organizations can attract new audiences, delight customers, create advocates, and extend their competitive advantage in the marketplace. Our vision is to raise the bar for human experiences by amplifying individual voices. Learn more at .

    What we're looking for

    We are looking for a seasoned Staff Data Engineer with amazing problem-solving abilities and a growth mindset to join a team of highly skilled data engineers and data architects to build and manage the end-to-end data pipelines (batch and near real-time) using modern cloud technologies. This is a role in the central data organization at SurveyMonkey that provides actionable insights to all key business functions of the organization

    As a Staff Data Engineer, you will lead data engineering initiatives and build end-to-end Analytical solutions that are highly available, scalable, stable, secure, and cost-effective. You will be reporting to the Director of Data Engineering

    What you'll be working on

    • Design, architect and build data pipelines to support existing data models
    • Manage the Data Infrastructure & Platform
    • Data quality: Build quality checks in the end-to-end data pipelines
    • Design & Build new Data models (Fact vs Dimension). Write performant/idempotent transformations in Snowflake using dbt
    • Build data pipeline using Python scripting (in a modular/loop context) Write well-tested, production-ready code in Python and Snowflake SQL
    • Hands-on experience implementing ETL (or ELT) best practices
    • Translate business requirements, to technical specifications, form project scope, and deliver deployable code.
    • Write complex data engineering Snowflake - SQL jobs that perform sophisticated queries on the entirety of our datasets
    • Document our systems for internal and external stakeholders
    • Monitor and debug data pipelines running on Airflow
    • Participate in code reviews
    • Mentor data engineers on best practices and coding standards
    • Lead and collaborate effectively with cross-functional teams, including data scientists, analysts, and business stakeholders.
    • Identifying opportunities for process improvements, automation, and optimization of data pipelines.
    • Implementing innovative solutions and exploring new technologies to address complex data challenges

    We'd love to hear from people with

    • 8+ years experience in data engineering and Data warehousing technologies
    • 4+ years experience in Snowflake/ETL/ELT or similar technologies like Redshift
    • Experience building and scaling a Data Platform.
    • Experience doing Proof of concept for new solutions and technologies
    • Experience with AWS cloud services: S3, EC2, RDS, Spark, EMR etc
    • Experience with object-oriented/object function scripting languages: Python (preferred), Java, Scala, etc.
    • Experience in orchestrating, automating, and deploying production data pipelines using Airflow/Luigi, etc
    • Extensive Experience with DevOps: Git, Github actions, CI/CD pipelines, Terraform, etc
    • Experience with tools such as DBT or other similar technologies
    • Experience with transforming, and developing data structures, metadata, dependency, and data workflows to support an Analytics function
    • Experience with Designing Scalable Data Models in a Cloud Data warehouse
    • In-depth knowledge of Data lakes, EDW concepts, and data modeling (Star, Snowflake, and Galaxy schemas)
    • Experience in implementing data governance practices and ensuring compliance with data privacy regulations (such as GDPR, CCPA).
    • Commitment to continuous learning and professional development

    Why SurveyMonkey? We're glad you asked
    SurveyMonkey is a place where the curious come to grow. We're building an inclusive workplace where people of every background can excel no matter their time zone. At SurveyMonkey, we weave employee feedback into everything we do to create forward-looking benefits policies, employee programs, and an award-winning culture, including best workplace for parents , our annual holiday refresh, our annual week of service , and our C.H.O.I.C.E Fund . In addition, we've reimagined the way we work to allow employees to choose what works best for them -- working in-person, fully remote, or a hybrid model that combines the two through our Choice Model .

    Our commitment to an inclusive workplace
    SurveyMonkey is an equal-opportunity employer committed to providing a workplace free from harassment and discrimination. We celebrate the unique differences of our employees because that is what drives curiosity, innovation, and the success of our business. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. Accommodations are available for applicants with disabilities. #J-18808-Ljbffr
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