Staff Data Engineer

Position: Staff Data Engineer
Location: New York, United States
Remuneration: $ 170000.00 - $ 200000.00 per annum
Who is hiring?

Third Republic has partnered with a fast-growing Technology startup that plans to maximize efficiency behind the power of Data & Analytics focused on marketing. Fortune 500 firms are leveraging this platform in order to engage their consumers in different ways.  My client has entered a different phase of growth altogether and plans to hire a talented and passionate, Sr. Data Engineer to join the team.

  

What will you be doing?

As a Staff Data Engineer, you'll own new initiatives, designs, and build world-class platforms in order to measure and optimize ad performance. You'll apply state of the art technologies, frameworks, and strategies to address complex challenges with Big-Data processing and analytics. 

Who you are:

    • Love what you do and are passionate about crafting clean code and have a steady foundation with 8+ years of programming experience in coding, object-oriented design and/or functional programming
    • Deep understanding of distributed system technologies, standards, protocols, and have 3+ years of experience working in distributed systems like Hadoop, Big Query, Spark, Kafka Eco System ( Kafka Connect, Kafka Streams), and building data pipelines at scale.
    • Hands-on experience building low latency, high-throughput APIs, and are comfortable using external APIs from platforms.
    • Excellent SQL query writing abilities and data understanding
    • Care about agile software processes, data-driven development, reliability, and responsible experimentation 
    • Genuine desire to automate decision making, processes, and workflows
    • Experience working with dependency management tools such as Luigi/Airflow
    • Experience with DevOps domain - working with build servers, docker and containers clusters (kubernetes)
    • Experience in Mentoring and growing a diverse team of talented data engineers
    • Spark Streaming or other live stream processing technology
    • Cloud environment, Google Cloud Platform 
    • Container technologies - Docker / Kubernetes
Why you shouldn’t miss this opportunity?
 
Data Science(Data Engineer), Google Cloud Platform (GCP)

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