Senior Data Engineer

Responsibilities:

• Building distributed and highly parallelized BigData 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

Requirements:

• Experience in Scala and Spark minimum 5 years of experience
• Knowledge of Big Data Ecosystem (Hadoop stack: YARN, EMR, Sqoop, Hive, etc.)
• Experience with Kafka at a basic level
• Experience with Impala
• Knowledge of Jenkins, JIRA, Bitbucket and Git
• Experience in Snowflake in AWS environment
• Experience of implementing data security capabilities such as encryption and anonymization
• Excellent communication skills and experience of distributed global teams
• Data driven thinking capabilities
• Experience in using Agile methods

Nice to have:

• Strong knowledge about Unit testing
• Code versioning strategy & Branching strategy
• Familiar with Agile/Safe framework
• Prior Financial Service experience is considered a plus

Offer:

• Private medical care
• Co-financing for the sports card
• Constant support of dedicated consultant
• Employee referral program