Senior Software Engineer, Data Platform - Myrtle Point - Instacart

    Instacart
    Instacart Myrtle Point

    1 week ago

    Description

    Employer Industry: Grocery Delivery and E-commerce

    Why consider this job opportunity

    • Salary up to CAD $177,500
    • Eligible for new hire equity grants as well as annual refresh grants
    • Opportunity for career advancement and growth within the organization
    • Flexibility to work remotely from home or any preferred location
    • Collaborative work environment with a focus on innovative data solutions
    • Engaging team culture with regular in-person events to build community

    What to Expect (Job Responsibilities)

    • Design, develop, and maintain comprehensive access controls and governance systems to ensure data integrity and privacy
    • Ensure the reliability, scalability, and security of the data platform
    • Collaborate with various stakeholders to enhance the data infrastructure
    • Shape data strategy and contribute to the development of the Instacart data lake
    • Work closely with Product, Data Science, and ML teams to deliver high-quality solutions

    What is Required (Qualifications)

    • Must have 5+ years of experience in software engineering
    • In-depth understanding of distributed systems and experience with data processing technologies like DBT and Airflow
    • Proficient in SQL for writing and reviewing complex queries for data analysis
    • Ability to design for scale with an understanding of the entire system
    • Strong analytical and debugging skills, with a collaborative mindset

    How to Stand Out (Preferred Qualifications)

    • Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent industry experience (4+ years)
    • Prior work experience in Data Platforms
    • Experience with big data technologies such as Spark, Hadoop, Flink, Hive, or Kafka
    • Proven experience with distributed system designs and data pipelines
    • Strong experience in writing complex and optimized SQL queries

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