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