Software Engineer, Data

It’s the classic advertising dilemma. Marketers buy ads. Sales happen. But did the ads actually drive sales? And which ads drove which sales? For retail and travel ecommerce sites, closing the loop from stimulus to response is straightforward and serves as the driver behind billions in spend on digital performance marketing. But for manufacturers and hotels that rely on retailers and travel sites to sell the majority of their products.

HookLogic Engineers develop proprietary software platforms used by the world’s largest e-commerce retailers. Our engineering team consists of talented, team-oriented individuals who are empowered to take advantage of the latest cloud and distributed technologies to deliver reliable, high-throughput applications. Our core languages are Java and C# and we commonly utilize technologies and platforms such as RESTful services, jQuery, SQL Server, Hadoop, Hive, HBase, Storm, Spark, and AWS Services such as Kinesis, DynamoDB, Redshift, Lamda, and SQS.

As a Data Engineer, you’ll employ your skills on a daily basis to design and build data processing and storage applications to handle millions of transactions per day. You will analyze business requirements and consult with the broader team to ensure successful processing, storage and reporting of our Big Data. You’ll have a wide variety of languages and technologies at your disposal that you can use to solve problems. Your work will directly shape and create our data architecture to ultimately deliver systems that stand up to unpredictable environments at massive scale.

Depending on experience, successful applicants will show a growing track record of success or the groundwork to be an impactful member of the team. We’re looking for candidates that exhibit many of the following skills/attributes: * Strong Educational Background * Hands-on Engineering experience * Problem solving and debugging skills * Writing and deploying code the Linux, Windows, or cloud environments * Familiarity with algorithms and performance analysis * Willingness to contribute to the operational responsibility of the team’s applications * Some experience with one or more of the following: * Relational Databases & SQL * NoSQL databases (Redis, DynamoDB, MongoDB) * Big Data tools such as Hadoop, Hive, EMR, Storm, Spark, DynamoDB, HBase * Distributed Platforms such as Storm, Spark, or Hadoop * Amazon Web Services (AWS) or other cloud platforms