We are looking for an experienced Data Engineer for the growing BI solution in the real estate industry. You will be involved in the design and development of complex BI applications, creating efficient and performant data pipelines grounded in strong data modeling. This is an opportunity to join a strong development team utilizing the latest set of progressive technologies, for an expanding global intelligence business as well as investigating new technologies such as AI and ML to enhance the platforms and services that we offer our customers. Office remote: Poland, Lithuania, Portugal. Requirements 2+ years of Data Engineer experience; Strong knowledge of SQL; Experience in ETL/ELT processes design, development, and maintenance; Experience in DWH modeling and Data Mart design; Experience with ETL/Orchestration platforms and tools (ADF preferred, SSIS, Apache Airflow, AWS Glue, Talend, etc.); Experience with at least one RDBMS (Microsoft SQL Server, MySQL, PostgreSQL, Oracle, DB2); Experience with cloud solutions and services (Microsoft Azure preferred); Experience with at least one VCS (Git, SVN, etc.); Experience with programming languages (Python, C#, Java); Experience working in an Agile/Scrum development process; Upper-Intermediate or above level of English. Nice to have Experience with Cloud DWH solutions (e.G. Azure Synapse, AWS Redshift, Snowflake); Experience with RDBMS administration tasks (installation, configuration, monitoring, backup, etc.); Experience with BI visualization tools (e.G. Power BI, SSRS, Tableau, or Qlik); Experience with NoSQL databases (Mongo, Cassandra, etc.); Experience with unit and integration testing. Responsibilities Collaborate with product managers and fellow engineers to help define and implement innovative data deliverables; Build complex ETL pipelines; Improve system's performance and maintainability, optimize SQL queries; Follow and promote databest practices and standards. We offer Projects for such clients as PayPal, Wargaming, Xerox, Philips, adidas, and Toyota; Competitive compensation that depends on your qualification and skills; Career development system with clear skill qualifications; Flexible working hours aligned to your schedule; Options to work remotely; Corporate medical insurance covering services of private and public medical centers; English courses online; Corporate parties and events for employees and their children; Gym membership compensation, corporate sport competitions (cybersport included); 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate. #J-18808-Ljbffr
