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POSITION BASED IN MALAGA, SPAIN
Our client has more than 15 years of experience in advising companies and administrations and assisting them in the implementation of their transformation projects in Spain and abroad, around Europe and overseas, with operations worldwide with almost 6,000 consultants to date.
To do so, it relies on both technological leverage and the strength of our DNA based on collective intelligence, agility and entrepreneurship.
With a presence on five continents and more than 3,500 employees, its goal is to reach more than €1 billion in revenue by 2024. Innovation is at the heart of its development, and it is involved in areas linked to the technological changes of large groups, such as Big Data, IoT, Blockchain and Artificial Intelligence.
Our client is looking for a candidate willing to work in the banking industry as a Qlik Sense developer in corporate banking, mainly.
It is looking for a person with the commitment to stay long term with them, with a previous among experiences in the sector of +5 years of professional experience, aiming to start a new international challenge based in Malaga, south of Spain.
Technological tools you will be working with:
- Spark
- Python
- AWS:
-S3, Glue, Athena
Job description
We have launched a vast transformation programme around data and Artificial Intelligence, in the context of a global transformation of the IT department.
As a data engineer, you will work within the dataviz team and create custom datasets for reporting.
- Participate in SAFE agile ceremonies and assist the team in the implementation of features requested by the client.
- Exchange of good practice
- DATAENG Community
- Technology watch and sharing
Qualifications
What needs to be built :
- Creation, industrialisation and automation of data flows for the datalake.
- Interaction with different data sources:
- Databases
- Files
- API
- Consolidation pipeline from event streams
- Data anonymisation pipelines
- Compliance with IS principles and DATAOPS doctrines
Qualifications
Your responsibilities :
- Guarantor of the QOS of data flows
- Implementation of observability, monitoring, alerts
- Assisting and resolving incidents (resolving incidents, finding root causes, identifying problems, writing feedback, managing communication with customers)
- Write the technical operating documentation
- Participate in debt reduction/control by improving existing and adopting new practices.
Further information
We are looking for a professional profile with :
- From the field of decision-making DATA
- From the banking sector
Technological tools you will be working with:
- Spark
- Python
- AWS:
-S3, Glue, Athena
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