Senior Data Engineer

Position overviewWe are looking for a Senior Data Engineer with hands-on experience in Databricks, Snowflake, and either AWS or Azure to join our team. In this role, you will own the full lifecycle of our data warehouse, from ETL and ELT pipeline design and dimensional modeling to performance tuning and infrastructure optimization. You will work with modern data platforms to transform raw data into reliable, scalable, and actionable insights that support business decision making.ResponsibilitiesDevelop, operate, optimize, test, and maintain the data warehouse, including ETL/ELT process development, cube development, database/performance administration, and dimensional table designDrive the full life-cycle of back-end development for the data warehouseIdentify, design, and implement internal process improvements - redesigning infrastructure for scalability, optimizing data delivery, and automating manual processesDefine data retention policiesBuild analytical tools that leverage the data pipeline to deliver actionable insight into key business metrics (operational efficiency, customer acquisition, etc.)Select and integrate tools for monitoring, managing, alerting on, and improving database performanceDevelop and implement automated processes to ensure uninterrupted database updates and correction of vulnerabilitiesAssemble large, complex datasets that meet functional and non-functional business requirementsRequirements5+ years of experience or 5+ completed projectsAdvanced SQL and query optimization, with proficiency across popular database variationsPython for data engineering and automationCloud data platforms: Snowflake and/or DatabricksCloud services: AWS and/or AzureData transformation and modeling with DBTETL/ELT pipeline design, development, and maintenanceApache Spark (PySpark preferred)Workflow orchestration using Apache Airflow, Dagster, or another widely adopted orchestratorRelational database design and performance tuning (PostgreSQL, MySQL, SQL Server, Oracle, etc.)Data warehousing concepts and dimensional modelingData management fundamentals: data modeling, data quality, metadata management, data warehouse/lake patterns, distributed systemsVersion control using Git and CI/CD practicesData governance, data quality, lineage, and observability practicesSecurity and access control implementation in cloud data platformsNice to haveApache Kafka, Apache Flink, Apache BeamTerraform, Kubernetes, DockerApache Iceberg, Delta Lake, or Apache HudiReal-time and event-driven architecturesAWS Glue, Amazon MWAA, Azure Data FactoryData Mesh and Data Product conceptsMachine learning data pipelines, feature stores, or AI development experienceStreaming analytics and Change Data Capture (CDC) solutions (e.g., Debezium)What We Offer:Vacation days: Up to 26 business days per year.10 illness/special days off per year (fully paid, no medical papers needed) for all contract typesHealth and life insurance (Luxmed)MyBenefit platform with Multisport optionInternal psychological support serviceEnglish language classes from the first working dayAccess to external learning platforms: O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal trainingFlexible workplace: work from the office, from home, or choose a hybrid optionTech Skills Mentoring ProgramOpportunities to develop as a public speaker, mentor, or technical interviewerFully paid idle (bench) when not involved in a projectCertification reimbursement (AWS, GCP, Microsoft, etc.)