SocialCode combines audience data, insights, creative and measurement to drive superior performance for leading brands. We offer an integrated technology and service solution that transforms consumer and brand data into highly effective planning, media activation and measurement for a variety of leading Fortune 500 and emerging brands. Our deep expertise in people-based media, advertising, and e-commerce platforms like Facebook, Google, and Amazon drives superior business results and actionable insights about customers and prospects.
We’re looking to hire a Data Engineer to help to further develop our analytics platform for audience and campaign data. The ideal candidate has a passion for data and big data technology, and will be joining a team of seasoned data engineers to take that passion to the next level!
How You Can Make An Impact:
Collaborate with other engineers to produce a robust, highly performant data pipeline including data ingestion, transformation, aggregation, and storage of data for analysis and modeling.
Orchestrate complex workflows to accommodate a range of large-scale data sets from our clients and partners across several targeted verticals.
Partner with our data scientists to deliver production-ready models that operate at scale to power superior advertising performance.
Develop the experience and know-how to keep our data pipeline operations on rails.
Bachelor’s or Master’s degree in Computer Science (or related field) or equivalent experience
Minimum of 2 years experience in software engineering, including at least 1 year working with big data tooling
Big data tech including Spark, Hadoop, and HDFS
Cloud-based analytics environments (such as Qubole or DataBricks)
Working within the AWS platform or Google Cloud Platform
Python or equivalent high-level language
Workflow management tools such as Airflow, AWS Step Functions, or Oozie
Domain experience highly desirable in the following areas: