We all know that excellent customer service keeps customers coming back for more. At Sparkcentral, we really get that, and our small company works with some of the most amazing brands out there, (Uber, Dropbox, Delta Air Lines, Netflix, Jetblue, Discover, Nordstrom, etc.) to help deliver quick and efficient customer engagement.
Sparkcentral has quickly become an industry thought-leader that is changing the way enterprises help and engage customers. Our goal is to inspire and enable amazing customer experiences, and we’re doing this by completely re-imagining what enterprise customer service software should look like.
You would be joining a group of extraordinarily talented people who are dedicated, hardworking, and passionate about customer care. We work at an incredible pace, but also have fun while doing it. We need you to bring your skills and insight to the table and work with us to help make our product better. In other words, we hire people who have tremendous drive, organization, and, above all, passion. Sound like you? Let’s talk.
You will be responsible for the implementation and ongoing administration of the Data Infrastructure/pipelines. You need to be up for the challenge and ready to develop data pipelines for our data platform using a variety of tools such as Kafka, Hadoop and Cassandra, Storm and Spark. There are many Big Data tools on the market, and it’s important that the choice of using a particular tool can be defended (not used just because it's trendy). We need you to be an engineer who has experience learning new technologies, can work with a variety of approaches, and who also has worked with data in a variety of contexts. You will imagine, implement, test, and iterate on our architecture and new features while also constantly looking for ways to improve parts of the infrastructure.
You also need to be passionate about mentoring and ready to drive the entire engineering team on the best practices of data management. You’ll be a part of many projects and will be enabling the team to think about everything in terms of data. You'll be solving high volume, low latency problems using various statistical/mathematical models and scaling a web application that is used by some of the world’s largest brands. You’ll be working in a diverse, dynamic environment that leverages multiple tools and languages while constantly trying to find ways to remove obstacles, and weaknesses that slow you down. You’ll be getting your hands dirty. Seriously.
Nice to haves
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