As a Senior Big Data Engineer, you will join our Client, a leading global provider of advanced analytics, innovative technology solutions and unique clinical research services to the life sciences industry. You will be working collaboratively with the team to design, develop and support data engineering solutions. The platform for solutions helps solve complex business challenges pertaining to healthcare data such as mapping a wide variety of healthcare diagnosis data to standard coding frames. You will have the opportunity to solve complex engineering challenges and develop innovative solutions.
Join Us and Accelerate Your Big Data Career!
Warsaw-based opportunity to work in hybrid model!
responsibilities :
Building pipelines for processing big amounts of medical data
Participating in system design, development and maintenance
Working closely with the data analysts to identify and provide the required data
Contributing to the definition and adoption of technical standards
Creating comprehensive automated unit and integration tests
requirements-expected :
5+ years of experience with Big Data Stream processing (Scala, Apache Spark)
Knowledge of SQL and transactional databases
Previous experience with Azure
Experience with one or more of Apache Spark, Apache Kafka, Apache Flink, HDFS
Knowledge of the NoSQL database such as Hive, HBase, Cassandra, ElasticSearch or others
Bachelor’s Degree in Computer Science or another related field
Familiarity with Agile methodologies
offered :
Stable and long-term cooperation with very good conditions
Enhance your skills and develop your expertise in the financial industry
Work on the most strategic projects available in the market
Define your career roadmap and develop yourself in the best and fastest possible way by delivering strategic projects for different clients of ITDS over several years
Participate in Social Events, training, and work in an international environment
Access to attractive Medical Package
Access to Multisport Program
Access to Pluralsight
Flexible hours
benefits :
sharing the costs of sports activities
private medical care
flexible working time
fruits
integration events
corporate gym
mobile phone available for private use
computer available for private use
saving & investment scheme
no dress code
coffee / tea
drinks
christmas gifts
birthday celebration
sharing the costs of a streaming platform subscription
