Big Data Specialist fmd
Big Data Specialist fmd
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Job Description
Your area of work:
Our development team at the Eschborn site is looking for reinforcement to meet the high demands on our Cloud dissemination platforms as well as our analytics systems.
Deutsche Brses A7 analytics platform offers direct access to orderbyorder historical and intraday market data from Eurex and Xetra via the Cloud. Clients gain direct access to flexible analytical tools which allows them to gain advanced market insights and alter their own trading strategies accordingly.
In a highly diverse environment (from Onprem to Cloud) you will support and advance all processes of market data distribution from the conception to implementation product test to deployment as well as the operational business. You will be joining a team which is highly motivated to provide the best service to the market staying on top of advancing technology to do so.
Your responsibilities:
- Creating concepts and integration of data interfaces for processing data streams and development of data models for new products
- Adaption of various data sources (for market data) and calculation of key figures (realtime analytics) based on realtime neartime and batch processing
- Design and development of scalable backend solution for bigdata applications
- Continuous enhancement of the data platform and their interface (API)
- Automation of test cases for the existing and new functions
- Integration of the services in Google Cloud (GCP) landscape
Your profile:
- University degree in information technology Mathematics Physics
- Profound knowledge of computer systems software architectures data structures automation and programming
- At least 5 years of experience in software development preferably in financial area
- Good knowledge of programming languages C and Python (inc. Pandas etc.
- Fundamental knowledge of cloud technology and experience with cloud platform GCP (inc. services like BigQuery Dataflow or Pub/Sub)
- Knowledge of containerbased solutions like Docker / Kubernetes
- Experience in data processing and tools like Spark Kafka Airflow Cassandra Elastic Search Beam Flink Presto SQL/NoSQL etc.
- Experience with batch and stream processing and with data formats like Avro Parquet ORC or GPB
- Knowledge of devops methodology and tools (Jira GitHub Artifactory Pipelines)
- Knowledge of data visualization and analysistools like Tableau Jupyter Zeppelin
- Good language skills English. German is an advantage.
Required Experience:
Unclear Seniority
Employment Type
Full Time
