Data Engineer

Monocl is a rapidly growing SaaS business focused on Life Sciences and healthcare. We are now looking for a Data Engineer to join our amazing Engineering team in Göteborg. Are you motivated and passionate about building scalable data platforms? Do you want to join a team where you will be surrounded by equally driven and creative colleagues? Then we would love to get to know you better!In less than three years, we have added more than half of the top 20 largest pharmaceutical companies to customer portfolio. This is your opportunity to join us, we’re just getting started.What you'll be doing:In the role as Data Engineer you will join our amazing Engineering team where you will collaborate closely with experienced analysts and data scientist as well as teams across Monocl to integrate and develop our core datasets. Monocl offers a unique and diverse work environment with truly ambitious colleagues that will help you reach new limits.You will have the support of your highly talented colleagues with the responsibility to:* Work in a collaborative team of analysts and data scientists to develop smart analytical capabilities and data products* Take ownership of our core data lake and data pipelines, powering metrics, analyses and machine learning models* Develop data pipelines and integrate data from everything we do into one coherent source of truth* Take responsibility for quality of solutions, testing and that best practices are being used* Take responsibility for running our Spark cluster efficiently and in a cost efficient wayWe have a solid and mature Big Data architecture hosted in AWS Cloud and we work in an open source environment, primarily with Java, Spark and Scala.Who you are:To be successful in the role you need to understand a wide variety of data and domains, and use your expertise and creativity to bring simplicity to complex problems. You have a sharp technical mind and feel passionate about working in a product-based business and with building data platforms. You are comfortable working independently and with smaller teams.* You have experience of building data pipelines using Apache Spark* You have experience of ETL techniques and data warehouse modelling* You have good knowledge of Java* You are used to working in unixBonus qualifications that makes you stand out from the rest:* Experience working with cloud tech, specifically experience in Amazon AWS and its plethora of services.* Experience of working in Big Data development projects* Strong experience in handling and fetching everything from traditional, relational data to semi- or unstructured data* Knowledge in Neo4j and Elastic.* Knowledge in Scala.* A dedication to testing, code review and other quality-oriented practices and supporting workflows are also highly valued.Who are weAt Monocl we strongly believe in the strength of diversity and welcome applicants from all backgrounds. Here you will join an ambitious and international working environment with colleagues that push each other to the next level. You will enjoy a range of benefits and be equipped with great hardware for the job.Monocl’s mission is to connect all stakeholders in life sciences and healthcare through software - thereby enabling our customers to target and engage the right opinion leaders, medical experts, and customers anywhere in the world. We are guided by a strong vertical focus on life sciences and healthcare, combined with a relentless drive to address great customer challenges. We truly believe that software eats the world.How do I apply?This position will remain open as long as this add remains on our website. When submitting your application, make sure to highlight and demonstrate past relevant achievements that you are proud of and make sure to include relevant references. We continuously look through applications. The applicants that best match our requirements will be contacted for a phone interview before a follow-up interview at our office. Applications are sent via For questions (not applications) regarding the role, feel free to contact our Talent Acquisition Manager, Arsaman Bahrami, at or +46 739 800 118.

Apache Machine learning Open source Java Scala AWS


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10 juli 2019