Save time and effort sourcing top tech talent
hackajob is partnering with Integral Ad Science to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry’s most actionable data to drive superior results for the world’s largest advertisers, publishers, and media platforms. IAS’s software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com.
As a Data Engineer, you will help develop and run the team’s data pipeline that ingests, correlates, aggregates and outputs millions of events. The ideal candidate has a track record of architecting and building end-to-end data pipelines, enjoys working in a collaborative and agile environment, and brings innovative solutions to complex problems with a desire to improve the status quo. You should be eager to discover new technologies, have a desire to work with large amounts of data, and have a passion for learning.
What you'll get to do:
Planning delivery of data pipelines and API endpoints for IAS (Integral Ad Science) product offerings
Architect and build data pipelines and data stores specialized for data science needs
Design architecture to streamline data science processes
Design and implement systems for large-scale data analysis
Build tools and frameworks for use across the data science and data engineering teams
Define and implement best practices and development processes
Partner with engineering teams on deployments of data science driven solutions
Participate in training and mentoring of data engineers
You should apply if you have most of this:
Bachelors or Masters in Computer Engineering, Computer Science, Electronics Engineering, or related fields
5+ years of experience designing and building data-intensive applications
Excellent hands-on coding - with demonstrable expertise in Java, Scala, or Python
Strong knowledge of collections, multi-threading, JVM memory model, etc.
In-depth understanding of algorithms, scalability and various tradeoffs in a Big Data setting
Expertise in using Big Data frameworks (e.g. Flink,Spark) and databases (e.g., RedShift, Vertica, Snowflake, Databricks) for complex data assembly and transformation
Knowledge of database technology, SQL, schema design and query optimization techniques
Understanding of full software development life cycle, agile development and continuous integration
Ability to communicate clearly to technical and non-technical audiences, verbally and in writing
What puts you over the top:
Digital advertising or web technology experience
Experience working with AWS Analytics technologies
Experience working with Apache Airflow
Experience implementing machine learning algorithms
hackajob is partnering with Integral Ad Science to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.