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    Senior Data Engineer, Business Systems - Ciudad de México - Outreach

    Outreach
    Outreach Ciudad de México

    hace 2 semanas

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    Descripción

    About the TeamData is at the core of Outreach's strategy. It drives our product and our customers to the highest levels of success. We use it to derive customer health scores and revenue dashboards, monitor operational metrics of our AWS infrastructure, increase product engagement and user productivity through natural language understanding, and power predictive insights and causal inference via experimentation. As our customer base continues to grow, we are looking towards new ways of leveraging our data to deeper understand our customers' needs and deliver new products and features to help continuously improve their customer engagement workflows.

    About The Team

    The Business Systems Data Engineering team is on a mission to bring relevant data to every person at Outreach while advancing the use of data and promoting an insight-centric culture. We are a centralized resource providing a suite of services to Outreach business functions across Finance, Analytics, and Support systems, with data as the critical component to a seamless experience.

    Our Vision of You
    • Data is your passion, from schema design to understanding data pipelines to data validation and optimization. You love everything about data and live in this world.
    • You strive to become an expert in analytics toolchains and solutions (such as Databricks, Python, Spark) and understand their nuances as you optimize schemas to take advantage of their unique features.
    • You are meticulous about data and data-pipeline quality and obsessive about building solutions that verify data correctness at every step of the pipeline
    Basic Qualifications
    • Excellent communication and collaboration skills.
    • Passionate about working cross-org to understand business requirements and drive decisions about how to best deliver value.
    • Good understanding of RDBMS and NoSQL data stores and when to use each
    • Experience with OLAP and OLTP type datastores including schema design and query optimization
    • Experience working with processing large amounts of data
    • Experience with distributed bus systems (Kafka, RabbitMQ)
    • Strong skills in at least one programming language languages (Python, Ruby, Golang)
    • Experience with Spark Ecosystem (Presto, Delta Lake, Databricks, etc.)
    • You embody our core values: we are hungry craftspeople, we have grit, we are honest, we take ownership, we have each other's back no matter what, we're one with our customers, and we find strength in diversity and inclusion
    #J-18808-Ljbffr
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