Integral Ad Science is seeking a Senior Data Engineer to join their Data Engineering platform team to work on data pipelines for their core ad verification, analytics, and anti-ad fraud software products.
Requirements
- Excellent hands-on coding skills in Java and Python
- In-depth understanding of algorithms, scalability and various tradeoffs in a Big Data setting
- Expertise in using Big Data Spark framework and MPP databases (e.g., RedShift, Vertica, Snowflake) 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
- Experience working with Scala
- Experience working with AWS Analytics technologies
Responsibilities
- Planning delivery of data pipelines and API endpoints for IAS 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 and machine learning
- 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
Other
- Bachelors or Masters in Computer Engineering, Computer Science, Electronics Engineering, or related fields
- 8+ years of experience designing and building data-intensive applications
- Excellent interpersonal and communication skills
- Digital advertising or web technology experience
- Experience implementing machine learning algorithm
