Key skills
HadoopKafkaScalaSparkYarnAnalyticsyarnProduct Management
About this role
Role Overview
- Building distributed and highly parallelized Big Data processing pipeline which process massive amount of data (both structured and unstructured) in near real-time
- Leverage Spark to enrich and transform corporate data to enable searching, data visualization, and advanced analytics
- Work closely with DevOps, QA, and Product Management teams in a Continuous Delivery environment
- Implement multiple data requirements coming from the Group Financial Crime Prevention unit
- Develop streaming applications that connect to multiple data sources both internally and externally
- Enable advanced analytics pipeline that produces clean, transformed data set that are being utilized to feed multiple products within the Financial Crime sector.
Requirements
- Higher education level within IT or related fields are preferred
- At least 5 years of experience working with Scala and Spark
- Hands-on experience with Hadoop stack among others: yarn, EMR, Sqoop, Hive
- Experience with Impala
- Basic knowledge of Kafka
- Fluency in English both speaking and writing
Tech Stack
- Hadoop
- Kafka
- Scala
- Spark
- Yarn
Benefits
- B2B agreement
- Transparent working conditions
- Current support during our cooperation
- Possibility to work in an international environment
- Collaborative environment in Swedish organizational culture
- Private medical care
- Life insurance
- Multisport
- Teambuilding events