Data Engineer Mq To Big Data

Responsibilities

• Data engineering to build a global data platform in a banking environment envisioned to be the bank-wide single source of truth for reporting and analytics purposes
• Map data flows from traditional systems (mostly Oracle DWH) to Big Data datalake via IBM MQ and XML-based pipelines
• Develop IBM MQ native based schemaless data ingestion
• Develop XML based ingestion pipeline into Data Platform using Hive/S3
• Build and prepare data pipelines
• Data trouble-shooting
• Support for the business side

Requirements

• Several years of experience in data engineering (on traditional on-prem data warehouses and modern Big Data platforms and datalakes)
• Experience in data mapping
• Experience with Big Data platforms (Hadoop, Hive/S3, Spark)
• Experience with traditional data warehouses (Oracle databases)
• Advanced experience with IBM MQ and XML-based ingestion pipelines
• Fluent in English

Nice to have

• Experience with Trino, Airflow/Nifi and Kafka
• Experience in banking IT platforms

Personality

• Strong interpresonal skills
• Resilient to working under pressure

We offer exiting opportunities to work in the complex IT environments of leading banking and insurance companies in Switzerland. We are a fair employer with a personal touch for Swiss and EU residents paying great attention to working conditions, further training and development. If you are a strong IT specialist - for this role or in general - please do not hesitate to submit your application and to discuss further details directly.

Nice-to-have skills

• Kafka
• Oracle Databases

• Zürich, Zürich, Switzerland

Work experience

• Data Engineer
• Data Infrastructure

Languages

• English