We are looking for a versatile Data Engineering specialist to develop, test and maintain database architectures from different sources and large-scale processing systems so that they can be leveraged to ultimately improve decision-making. You would be joining a talented team of analysts and data engineers who work closely together to provide actionable insights into marketing performance. Your mission: enable, facilitate and bridge from data to analytics. What you will do Maintaining and troubleshooting 3rd party dataset integrations so that they can be easily used together with first-party data. Using a wide array of tools to automate the reporting of 3rd party data. Proactively participating in shaping the data architecture of marketing analytical tools. Working closely with analysts to enable the discovery of actionable insights and support decision making in Marketing. Caring about data quality and accuracy while taking responsibility for the delivery of unambiguous metrics. Innovating to extract information from unorthodox data sources like spreadsheets and weather forecasts with the same reliability of a database. Importing data in the existing Big Data Platform to enable the creation of a single source of truth to build the acquisition user journey. Creating the necessary tables and pipelines to ensure analysts can leverage those data in any analytical exercises. We are looking for someone who Has experience on Big Data solutions and has spent at least 1-3 years in a similar role. Possesses practical experience with cloud based data engineering stacks (like Google Cloud, AWS). Has experience with BI tools (backend + frontend). Is a solid SQL coder. Has decent Linux shell scripting skills. Is familiar with API integrations. Is able to manipulate multiple data sets and prepare tables for easily digestible reports. Is an excellent communicator with top-notch team working skills who can tell analysts and marketers alike in layman terms what data fields translate. Is well-versed in Python, or open to learn with at least a background in a mainstream OO or Functional language. Is preferably experienced with solutions provided in Google Cloud Platform (BigQuery). Possesses knowledge of AWS Data Pipelines, S3, Hive, Spark. Nice to have : Some knowledge of Google marketing digital products (GA, DCM, Adwords). Knowledge of machine learning methods and algorithms is a very nice addition. Previous experience in the ecommerce industry is a big plus. Exposure to data streaming technologies like Flink, Kafka, Kinesis.