Senior Software Engineer – Data Platform



What Will You Do

    • Work on high impact projects that improve data availability and quality, and provide reliable access to data for the rest of the business.
    • Drive the evolution of Medium’s data platform to support near real-time data processing and new event sources, and to scale with our fast-growing business.
    • Help define the team strategy and technical direction, advocate for best practices, investigate new technologies, and mentor other engineers.
    • Design, architect, and support new and existing ETL pipelines, and recommend improvements and modifications.
    • Be responsible for ingesting data into our data warehouse and providing frameworks and services for operating on that data including the use of Spark.
    • Analyze, debug and maintain critical data pipelines.
    • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Spark and AWS technologies.

About You

    • You have 5+ years of software engineering experience.
    • You have 3+ years of experience writing and optimizing complex SQL and ETL processes, preferably in connection with Hadoop or Spark.
    • You have outstanding coding and design skills, particularly in Java/Scala and Python.
    • You have helped define the architecture, tooling, and strategy for a large-scale data processing system.
    • You have hands-on experience with AWS and services like EC2, SQS, SNS, RDS, Cache etc or equivalent technologies.
    • You have a BS in Computer Science / Software Engineering or equivalent experience.
    • You have knowledge of Apache Spark, Spark streaming, Kafka, Scala, Python, and similar technology stacks.
    • You have a strong understanding & usage of algorithms and data structures.

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