ETL Developer @ Mindbox

1 miesiąc temu


Krakow, Polska Mindbox Pełny etat

Governance Risk and Control is looking highly motivated individual to undertake a Senior ETL Developer role Enterprise technology, principally to define and implement transfer of Helios Data asset onto Risk Data Platform(RDP.IT and business strategy, meets business objectives and satisfy all relevant regulatory and operational risk controls.

at least 5 years of experience in any of the  ETL tools Prophecy, Datastage 11.5/11.7, Pentaho.. etc.
at least 2 years of experience in Pyspark development;
strong experience in writing complex SQL queries to perform data analysis on Databases SQL server, Oracle,
HIVE etc.
possess the following technical skills – SQL, Python, Pyspark, Hive, ETL, Unix, Control-M (or similar scheduling
tools)
GCP Cloud knowledge/experience (in Airflow, Dataproc, Big query) is an additional advantage.
ability to work independently on specialized assignments within the context of project deliverables.
take ownership of providing solutions and tools that iteratively increase engineering efficiencies
design should help embed standard processes, systems and operational models into the BAU approach for
end-to-end execution of Data Pipelines

Governance Risk and Control is looking highly motivated individual to undertake a Senior ETL Developer role Enterprise technology, principally to define and implement transfer of Helios Data asset onto Risk Data Platform(RDP.IT and business strategy, meets business objectives and satisfy all relevant regulatory and operational risk controls.
,[Communicating effectively with senior stakeholders., Work with a team of technologists, ensuring prioritization of tasks and supporting removal of blockers., Working on burning the product backlog and oversee product demo’s, Understanding complex business requirements and new technologies and understand how to influence teams to adopt new practice and embrace automation., Managing of risks and issues] Requirements: ETL, Data pipelines, SQL, Python, PySpark, Hive, Control-M, GCP, Airflow, BigQuery, Dataproc Tools: Jira, Confluence, GIT, Agile. Additionally: Private healthcare, Small teams, International projects, Sport subscription, Training budget, Free coffee, Bike parking, Playroom, Shower, Free parking, Modern office, Startup atmosphere, No dress code.


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