Senior Data Platform Engineer
We are seeking a Senior Data Platform Engineer to join our Data Engineering function, where you will design and build high-performance, production-grade microservices and cloud-native data processing pipelines using Apache Spark, AWS Glue, and broader AWS tools.Requirements6+ years in software engineering, ideally with a focus on distributed systems or large-scale data platformsProficiency in Scala or a similar strongly typed, object-oriented or functional languageExpertise in Apache Spark and performance tuning for large-scale data jobsExperience with AWS services such as Glue, Lambda, S3, DynamoDB, Step Functions, EventBridge, API Gateway, ECS, and EC2Strong grasp of microservices, reactive and event-driven architecture, batch vs streaming patterns, and scalable system designHands-on experience with Kafka (Confluent) and/or RabbitMQFamiliarity with Apache Iceberg or similar formats like Delta Lake or HudiCI/CD, testing, clean code, and maintainable service designStrong communication skills with a collaborative and ownership-driven mindsetBenefitsCompetitive salaryOpportunity to work with a leading provider of European B2B data and sales intelligenceInclusive community of brilliant, diverse people who support, challenge, and inspire each other every dayFlexible work arrangementsProfessional development and growth opportunitiesOriginally posted on Himalayas
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