Data Engineer Integrator - ODI
Madrid, Spain
Keyrus
Keyrus is a global consultancy that specializes in developing innovative data and digital technology solutions for performance management. We help companies like yours get the most value possible from their data while optimizing their digital...THE PLACE TO BE
Empowered by our motto, "making data matter," Keyrus stands at the forefront of global consultancy in Data & Analytics, AI &Machine Learning, and Digital Transformation.
With a presence in 27 countries across 4 continents, we're on a mission to help our clients to improve their performance leveraging technological and functional expertise in data and analytics.
We are data experts, guiding our clients through their data journey regardless of their level of maturity in analytics. As an end-to-end partner, we address varied challenges that our clients face, from Advanced Analytics, Cloud, Data Governance, Visualisation to Enterprise Performance Management, from advisory to delivery.
With more than 3200 employees in all corners of the world, we help our clients on a global level with extensive knowledge, a start-up mindset, and a powerful international network.
We are seeking a Senior Data Engineer with a strong background in data integration across multiple cloud platforms, with expertise in building robust data pipelines and integrating data from various sources into a unified platform. In this role, you will design, develop, and maintain scalable data pipelines that adhere to industry best practices, ensuring high-quality and efficient data integrations. Experience with Oracle Data Integrator (ODI) 12c is essential, along with familiarity with other major cloud environments such as AWS, Azure, or Google Cloud Platform (GCP).
Responsabilities
Requirements:
- +3 years of Experience as a Data Engineer, working with data integration and engineering on one or more major cloud platforms (AWS, Azure, or Google Cloud Platform).
- Experience with Oracle Cloud Infrastructure (OCI) is beneficial but not mandatory.
- In-depth experience with Oracle Data Integrator - ODI 12c, with a proven ability to design and deploy effective data integration solutions using this tool.
- Strong skills in various data integration technologies, including but not limited to Apigee, Managed File Transfers (MFT), Kafka, and data services specific to AWS, Azure, or GCP.
- Solid expertise in scripting and data engineering, specifically in areas like data ingestion, data modelling, data cleansing, and data profiling.
- Proficient in designing and implementing data pipelines that are efficient, reliable, and well-documented, with an ability to optimize performance across cloud environments.
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
- Intermediate English Knowledge
CAREEER
The sky is the limit! We believe in people and the value they bring to our organization, that is why we are proud to have a company culture focused on people and for the people.
LEARNING AND DEVELOPMENT
In constant improvement! Our employees are the engine that makes Keyrus work every day, and those who make the difference in the projects we develop constantly receive training in the most cutting-edge technologies.
WORK ENVIRONMENT
Good vibes only! We have a diverse, inclusive and pleasant environment. Teamwork, good environment, and company events we organize throughout the year to nurture and continually improve the company-employee relationship.
INNOVATION
We want to change the world! Innovation runs in our DNA, and we want our future co-workers to have that passion, commitment, enthusiasm and cooperative spirit that is part of our essence.
SOCIAL BENEFITS
Our strategy to change and improve our world begins through different social initiatives promoted by our Human Resources department such as flexible hours, family conciliation, and competitive remuneration packages at market level.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Computer Science Data governance Data pipelines Engineering GCP Google Cloud Kafka Machine Learning Oracle Pipelines Testing
Perks/benefits: Career development Flex hours Startup environment Team events
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