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Senior Big Data Engineer (CTV)

Posted on Apr 20, 2021 by Integral Ad Science

Austin, TX 78737
Immediate Start
Annual Salary

As a Senior Big Data Engineer you will design, implement, and maintain big data pipelines responsible for aggregating tens of billions of daily transactions. You will be part of a growing team to develop and mature IAS' capability in video ad verification, analytics and anti ad fraud software products. The ideal candidate is naturally curious, dedicated, detailed-oriented with a strong desire to work with awesome people in a highly collaborative environment. You should be able to not take yourself too seriously as well.

What you'll do:

Architect, design, code and maintain components for aggregating tens of billions of daily transactions
Work on Big Data technologies such as Hadoop, MapReduce, Kafka, and/or Spark in columnar databases on AWS
Contribute to the entire software lifecycle including hands-on development, code reviews, testing, deployment, and documentation for streaming & batch ETL and RESTful APIs
Provide leadership, work collaboratively, and be a mentor in an awesome team

You should apply if you have most of this:

Bachelors or Masters in Computer Engineering, Computer Science, Electrical Engineering or related field
5+ years of recent hands-on in Object Oriented language (Java, Scala, Python)
5+ years of experience designing and building data pipelines and data-intensive applications
Experience using Big Data frameworks (eg, Hadoop, Spark, MapReduce) and MPP databases (eg, RedShift, Snowflake) for complex data assembly and transformation
Strong knowledge of collections, multi-threading, JVM memory model, etc.
In-depth understanding of algorithms, performance, scalability, and reliability in a Big Data setting
Good knowledge of SQL
Experience in full software development, Agile, and continuous integration/deployment
Excellent interpersonal and communication skills

What puts you over the top:

Experience building production level systems in a cloud environment (AWS, Azure or GCP)
Building event-driven microservices applications using spring boot or gRPC
Orchestrating data pipelines using tools such as Airflow
Familiarity with messaging frameworks like Kafka or RabbitMQ
Experience with Spark streaming or Flink
Solid understanding of OLTP and OLAP systems, database fundamentals

Reference: 1171721489

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