Join to apply for the Senior Data Platform Engineer role at EPAM Systems2 days ago Be among the first 25 applicantsJoin to apply for the Senior Data Platform Engineer role at EPAM SystemsWe are currently looking for an experienced Senior Data Platform Engineer to strengthen our engineering unit in Zürich to support our banking client in a hybrid working environment.As a Senior Data Platform Engineer, you will lead the design, development and maintenance of scalable data platforms that support analytics, data science and business applications. You will take ownership of the architecture, implementation and optimization of data pipelines, big data frameworks and cloud-based solutions. This role requires a strong understanding of distributed systems, database management and data governance principles.The ideal candidate is a hands-on problem-solver with expertise in data platform technologies and is comfortable mentoring a team while collaborating across data engineering, analytics and product teams.Would you like to be a part of this ambitious and innovative project? We look forward to receiving your application.ResponsibilitiesPrepare data pipelines and support data troubleshootingDevelop XML based ingestion pipeline into Data Platform using Hive/S3Develop IBM MQ native based schemaless data ingestion (extending from AVA to MQ)Understand application-level integration, system interfaces and data exchange logicDesign data ingestion and transformation strategies aligned with metadata, historization and business domainsCollaborate with business and platform stakeholders to define target state architecture for key use casesSupport transition of data products, schemas and pipelines into scalable, governed frameworksEvaluate opportunities to simplify, consolidate and modernize across data zones and ETL flowsRecommend future-proof design choices based on architecture, security and platform readinessRequirementsSolid experience in data engineering within complex on-premise environmentsHands-on Big Data experience using common open source components (Hadoop, Hive, Spark, Trino, Airflow/NiFi, MinIO, K8S, Kafka)Good knowledge of SQL, preferably in mixed environments (i.e. classic DWH and distributed)Deep knowledge of Python and data mapping/documentation using industry best practicesStrong understanding of data modeling standards and processesStrong understanding of data modeling tools (cleansing, Meta Data etc.)Good skills with IBM MQGood knowledge of banking data products/financial sectorSolid knowledge around financial data classification/sensitivityExpert knowledge of metadata management and related toolsFluent English skill is a must, German language skill is a significant advantageNice to haveExperience with Informatica PowerCenterExperience with Collibra PlatformWe offer5 weeks of vacationEPAM Employee Stock Purchase Plan (ESPP)Enhanced parental leaveExtended pension planDaily sickness allowance insuranceEmployee assistance programGlobal business travel medical and accident insuranceLearning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more*All benefits and perks are subject to certain eligibility requirements• Please note that any offers will be subject to appropriate background checks• We do not accept CVs from recruiting or staffing agencies• For this position, we are able to consider applications from the following:- Swiss nationals- EU/EFTA nationals- Third-country nationals based in Switzerland with an appropriate work permit- Displaced people from Ukraine who are currently in Switzerland and hold, or have already applied for, S permitsSeniority levelSeniority levelMid-Senior levelEmployment typeEmployment typeFull-timeJob functionJob functionBusiness Development, Information Technology, and EngineeringIndustriesSoftware Development and IT Services and IT ConsultingReferrals increase your chances of interviewing at EPAM Systems by 2xSoftware Engineer, ML & Data Platforms (100%)We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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