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Data Quality Engineer

hace 4 meses

Madrid, España Talan A tiempo completo

**A propos de Talan**

Passionate about digtal, data, IoT or AI and willing to join a dynamic and ambitious team on a human scale?

For more than 15 years, we have been advising companies and administrations and supporting them in the implementation of their transformation projects in France and abroad.

To do so, we rely both on technological leverage and on the strength of our DNA based on collective intelligence, agility and entrepreneurial spirit.

With a presence on five continents and more than 3,500 employees, our goal is to reach more than a €1 billion revenue by 2024. Innovation is at the heart of our development and we are involved in areas linked to the technological changes of major groups, such as Big Data, IoT, Blockchain and Artificial Intelligence.

**Our values & playfields**:

- Intelligence collective
- Agility
- Entrepreneurship /Intrapreneurship
- Commitment (employees, partners, schools, associations...)
- Respect for human beings and quality of life at work
- Open-mindedness and inclusiveness

**Together, let’s build Talan’s future**:
Present in Switzerland since 1997 in Geneva, Talan Switzerland now has nearly 100 employees. Initially focuse in the financial sector, Talan has developed in recent years in the watchmaking, insurance, media and services sectors and recently opened an office in Lausanne.

**Description**

Design and develop the code and the infrastructure needed to process and deliver quality data

**Activities**
- Establish documentation linked to technical deployment
- Order new machines able to host the solution on the correct environment
- Installs and tests the environments with related data
- Helps the technical iops to deploy new solutions in production
- Tests
- Development in continuous integration
- Ensures code quality is maintained
- Participate/assist during the acceptance phase
- is responsible for maintaining the product in operational condition
- Make presentation to countries and advise them on the best control approach
- Manage performing controls to maintain a good data quality standard

**Example of missions**
- Data profiling deployment
- Migration of controls from IrionDQ to Ab initio platform

IT TOOLS
- Spark and Scala as legacy data pipeline development language
- SparkaaS and Scala as data pipeline development platform
- Management of legacy big data storage solutions (HDFS and Parquet)
- Management of big data storage solutions (IBM Cloud Object Storage and Parquet)
- Implementation of SQL/NO SQL database schemas and queries (MongoDB, Oracle, Postgres)
- Ksh, Autosys and Oozie as legacy data pipeline scheduling solution
- Ksh and Airflow as data pipelie scheduling solution
- Dremio as data virtualization tool
- Dataiku as data preparation toolMigration from SAS to Spark as a bonus.

BUSINESS SKILLS

Knowledge of banking industry and processes

Business / IT Relationship

**Level**
- ** Expert / Context: initialisation phases, new data format, new components**

**Is involved in continuous improvement proposals and think about solutions**
- ** Specialist / Context: BAU, known format, high data knowledge**
- ** Beginner: check control result, help business to create/update controls, maintain documentation, manage users access to the tools