This ad goes out to all those who want to find a purpose in what they’re doing and take accountability for their work. At Blinkist, we’ve created a meaningful product that is growing fast. Our blinks – key insights from the world’s best nonfiction – inspire more than 8 million people around the globe to keep learning new, exciting things each and every day. Why do we need you? Our data stack has always been a core column of our business success.
Would you book a hotel without knowing anything about it? Neither would we! Here at trivago, we want to provide our users with the best and most relevant information to help them find the ideal hotel. To achieve this, we build highly scalable data pipelines in AWS to collect data about millions of hotels. We are looking for experienced, entrepreneurial Software Engineers to help build and maintain our data pipelines and deliver data to our internal teams.
As a Data Engineer you will be working on our large scale analytical databases and the surrounding ingestion pipeline. Your job will involve constant feature development, performance improvements and assure platform stability. The mission of our analytics team is “data driven decisions at your fingertips”. You own and provide the system that all business decisions will be based on. Precision and high quality results are essential in this role. You can expect an international team of Developers who are based in Hamburg.
We are seeking a data engineer who will work with our ambitious team and take our data infrastructure to the next level to help make our customers successful. If you are passionate about empowering people in making data-driven decisions, then we’re eager to get to know you. You have the option to start immediately in our Hamburg office. This is a full-time, permanent position. Responsibilities Shape and execute a technological mid and long term vision for data engineering with the teamProvide data in a reliable and efficient way to our stakeholders by keeping the data warehouse and all incoming and outgoing data streams running and up to dateHelp improving our product by finding and implementing new ways of using dataResearch and implement a new and advanced tech stackBuild and improve software solutions to support the work of Data Analysts and other teams in their daily workDefine processes and contracts for providing clean and unified dataRequirements
Job Description What you will do You will work with cutting-edge Big Data technologies like Spark, Spark Streaming, Kafka, Hadoop, Impala, Amazon WS. You influence the architecture of our platform and create the future of data-driven solutions at Bonial.com. Furthermore you will… Implement different Spark-jobs to guarantee executable routinesDevelop and enhance our dashboard applications and data crunching algorithmsBuild a platform for data science, BI and analysts to get data, run their queries and analyze dataHelp data science on data modeling, performance and scalability problemsApply or learn machine learning algorithm to improve our product and drive decisionsQualifications