We have seen that people who successfully fit in this position have: - 4+ years of experience in a Data Engineer role - Strong Knowledge of Data Management, Data Warehousing concepts (Dimensional Modeling, Data Marts) and Database Technologies. - Strong understanding of modern approaches to data engineering and the best approach to solve data problems. - Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases - ETL/ELT processes (Knowledge of DBT is a plus) - Working experience in Python. - Hands-on experience in Production Data Lake architecture in cloud and Big Data implementations in general (designing, constructing, cataloging and optimizing data lake) - Experience with Cloud Technologies and Serverless Computing (we use AWS). - Working experience building and optimizing ‘big data’ data pipelines, architectures and data sets. - Strong analytic skills related to working with unstructured datasets. - Exposure to DevOps and CI/CD practices. - Familiarity with Change Data Capture (CDC) is a plus. - Experience in workflow management tools/job orchestration tools is a plus. - Fluency in English is a must If you are interested in this opportunity, kindly send us your resume at: https://apply.workable.com/dialectica-global/j/2A8DB378A5/apply/?utm_source=rebrain&utm_medium=jobposts