We are seeking a highly skilled and experiencedLead Data Engineerwith expertise in Google Cloud Platform (GCP) to join our dynamic team.The ideal candidate will lead the development and implementation of cutting-edge data solutions, ensuring optimal data architecture and analytics frameworks. This role requires a strong technical background, leadership skills, and the ability to collaborate effectively with various teams.#LI-DNI#LI-VC5ResponsibilitiesDevelop and implement innovative analytical solutions using Cloud Native, Big Data, and NoSQL related technologiesDevelop and implement Cloud/On-Premise/Hybrid solutions using best in the class data frameworksWork with product and engineering teams to understand requirements, evaluate new features and architecture to help drive decisionsBuild collaborative partnerships with architects, technical leads and key individuals within other functional groupsPerform detailed analysis of business problems and technical environments and use this in designing quality technical solutionActively participate in code review and test solutions to ensure it meets best practice specificationsBuild and foster a high performance engineering culture, mentor team members and provide team with the tools and motivationWrite project documentationRequirements
We are seeking a highly skilled and experiencedLead Data Engineerwith expertise in Google Cloud Platform (GCP) to join our dynamic team.The ideal candidate will lead the development and implementation of cutting-edge data solutions, ensuring optimal data architecture and analytics frameworks. This role requires a strong technical background, leadership skills, and the ability to collaborate effectively with various teams.#LI-DNI#LI-VC5Responsibilities
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5+ years in most of the following Google Cloud Platform (GCP) technologies: DataFlow, Dataproc, Dataprep, GCS, BigQuery, Cloud Composer, Pub/Sub, BigQuery, Looker, Google Kubernetes Engine (GKE), FunctionsExperience in leading small and mid-size teams, using Agile methodologyExperience in some of the following frameworks: Databricks, Snowflake, Spark, Kafka, TerraformExperience in SQL and some of the following: Python, Java, Scala, KotlinExperience in some of the following: Kubernetes (K8S), Docker, LinuxMust have experience in successfully implementing data-centric applications, such as data warehouses, operational data stores, and data integration projectsStrong analytical and problem-solving skills that balance with creative approachesAbility to learn new and complex concepts quicklyStrong experience with large-scale production databases and SQLExperience with ETL development (extractions, data load, aggregation, transformation)Must be able to take ownership of projects with a prominent level of attention to detail and priorityTeam player with a hands-on approach and attitudeNice to haveExperience with data modellingFamiliarity with using business intelligence tools such as Power BI, Tableau, LookerWe offerOpportunity to Engineer your Future and to drive the world’s digital transformation with top industry clientsPersonal development program that will allow you to be valued for your strengthsWide range of professional trainings and workshopsBeing part of a collaborative, fast-growing, and innovative design teamEstablished and accelerated growth toward different career paths, competencies, and rolesBroad projects variety and possible mobility between projects over the timeCollaboration in a multicultural environment and exchange of best practices with colleagues around the worldVaried social benefits, Sports, Transportation and Health programsWork-life balance and flexible schedule, team buildings and sport opportunitiesModern office/collaboration spaces (incl. new Infinity Tower business center, Sofia)Hybrid By Design - we provide you with the best productivity options from the 2 worlds. Meet, socialize and enjoy F2F time with your colleagues, while working from the modern EPAM’s office for a few days per week and benefit from the EPAM’s virtual working environment - making you able to be productive and work from remote for the rest of the week