Data Enginner (Cloud Engineer) in Constanţa

Machine Learning (nice to have) Kubernetes (nice to have) Terraform (nice to have) Apache Spark (regular) Apache Hadoop (regular) AWS (advanced) Big Data (advanced) Python (advanced) PeakData is a Swiss-based AI startup on a mission to help patients receive the best treatment available. PeakData helps pharmaceutical companies enhance the effectiveness of their commercial and medical efforts by helping identify and engage the right healthcare professionals at the right time. We are looking for skilled engineers to help us develop creative solutions to answer the key business questions our clients have. One of our main challenges is in obtaining real-time insights from publicly available data sources such as social media, open web, research and medical publications, and many others. For the Data Engineer role, we are looking for an experienced data engineer to join our data team to help us scaling our data products and work on challenging tasks from data extraction to data processing. You will: Work on the designing and building of data-intensive applications.Work on very interesting and innovative data product which includes real-world web data at scale.Shape and scale data pipelines and architecture of our data platform (on AWS).Optimize the performance of large-scale data processing pipelines.Develop and automate new ways of processing data from a variety of sources.Develop tools and solutions which will enable our stakeholders to monitor and improve data quality and product quality.Support our more junior engineers, by providing them with coaching and mentoring.Help to apply engineering best practices and generally improve our engineering excellence. You are: Have 4+ years of industry experience.Proficient in Python software development.Have solid foundations and experience with Data Engineering and preferably Big Data.Have prior experience with the Apache Hadoop stack (Hadoop/Spark/Hive etc.)Have solid practical experience in building, debugging, and monitoring (DataOps mindset) data pipelines and data services.Have experience with the AWS ecosystem, especially in building modern data lake/mesh solutions in AWS (e.g. S3, Glue, Athena, LakeFormation).Pragmatic - you know when to make a cut for ongoing discussions and start working on deliverables.Communicative - you make your voice heard among the team and the wider tech organization and engage with our stakeholders to enable them and listen to their needs.Have an entrepreneurial mindset. You are able to deal with ambiguity and help to identify new opportunities and required improvements.Have excellent written and verbal communication (English). Bonus points if you are: Proficient with infrastructure-as-a-code solutions (eg. Terraform).Have familiarity with Docker, Argo, and Kubernetes.Have familiarity with SQL and No-SQL databases.Have familiarity with Elasticsearch and Graph databases.Have knowledge of NLP or other machine learning concepts.Have Previous experience working remotely.Have Previous experience in pharma. You’ll get: Get the opportunity to be exposed to the Pharma industry.Be part of an industry-leading Pharma startup.Work on life-changing product development – make a real impact.Competitive salary.Be part of a scale-up and have the opportunity to shape the company's future.Work in a highly professional and innovative environment.Work in a flexible working environment.