In your role as a Data Engineer you will be working in the Data as a Service (DaaS) cell which builds products and services designed to provide barrier free, easy to use information and test data for the whole bank. This includes data anonymization services, user interfaces and a consolidated data layer.
On a daily basis you will develop products based on database technology which are running in the Cloud (GCP) and on-prem. Your responsibilities will encompass the full Software Development Lifecycle including analysis, architecture, testing and also supporting during production issues during normal working hours.
The Big Data cluster is the enabler for data scientists and provides a huge collection of data and a data science workbench in one place.
BI technology within the lake infrastructure
Establish a stable, state-of-the-art technology base with on-prem and cloud solutions
Set up data lake as single data and analytics hub and effectively ingest most important data sources
Establish data quality and metadata management
Provide Data Marts and sandboxes for segments and functions with the most important combination of data sources
responsibilities :
Build and enhance automated Data Pipelines that transform data into usable information
Software development, defect and requirements analysis, testing, bug fixing of applications
Take care of proper up-to-date system documentation
3rd Level Support for our daily processes, Site reliability engineering
Drive technical discussions and implement new features to enable new business cases
Participate in regular Scrum ceremonies (Daily, Planning, Review, Retro)
requirements-expected :
High knowledge of SQL
Basic knowledge of Data warehouse, relational and non-relational database solutions
Basic knowledge of UNIX/LINUX (Red Hat) RH 7.x
Google BigQuery knowledge
Good knowledge of Hadoop Cloudera Data Platform (CDP)
Basic knowledge of GIT
Basic knowledge of Cloud Solutions (GCP)
offered :
Friendly and multicultural environment
26 days of holiday from the very beginning
benefits :
private medical care
sharing the costs of professional training & courses
life insurance
remote work opportunities
flexible working time
integration events
corporate sports team
retirement pension plan
preferential loans
no dress code
video games at work
coffee / tea
leisure zone
pre-paid cards
redeployment package
employee referral program
extra leave
Multisport
Skills@Work - personal & professional development program
Employee Assistance Program (psychological support)
