Spain Job Openings
Inetum Spain
Data Engineer Spark/Scala
Madrid
FULL TIME
September 3, 2024
Company Description
Why INETUM?
We are an international, agile digital consultancy. In the post-digital transformation era, we strive to ensure that each of our 28,000 professionals can continuously renew themselves.
Each of them can design their professional journey according to their preferences, collaborate with their clients to practically build a more positive world, innovate in each of the 27 countries, and balance their professional career with their personal well-being.
Our 28,000 digital athletes are proud to have been certified as a Top Employer Europe 2024.
Job Description
Join Our DATA Team at INETUM!
Are you ready to take your career to the next level? We are looking for a talented Data Engineer to join our dynamic team in Madrid with a hybrid work model!
What You’ll Do:
As a Data Engineer, you will play a crucial role in developing and managing our data pipelines. Your expertise will help us leverage cutting-edge technologies to drive data-driven decisions.
Qualifications
Key Requirements:
Why INETUM?
We are an international, agile digital consultancy. In the post-digital transformation era, we strive to ensure that each of our 28,000 professionals can continuously renew themselves.
Each of them can design their professional journey according to their preferences, collaborate with their clients to practically build a more positive world, innovate in each of the 27 countries, and balance their professional career with their personal well-being.
Our 28,000 digital athletes are proud to have been certified as a Top Employer Europe 2024.
Job Description
Join Our DATA Team at INETUM!
Are you ready to take your career to the next level? We are looking for a talented Data Engineer to join our dynamic team in Madrid with a hybrid work model!
What You’ll Do:
As a Data Engineer, you will play a crucial role in developing and managing our data pipelines. Your expertise will help us leverage cutting-edge technologies to drive data-driven decisions.
Qualifications
Key Requirements:
- Proficiency in Spark on Scala for legacy data pipeline development.
- Experience with Spark as a service on Scala for data pipeline development.
- Strong background in designing and developing streaming processes using Spark Streaming, Spark Structured Streaming, and Apache Kafka.
- Management of legacy big data storage solutions (HDFS).
- Experience with modern big data storage solutions (IBM Cloud Object Storage and parquet format).
- Implementation of SQL/No SQL database schemas, queries, and views (Mongo DB, Oracle, Postgres).
- Shell scripting skills and experience with Airflow as a data pipeline scheduling solution.
- Familiarity with Dremio as a data virtualization tool.
- Knowledge of Dataiku as a data preparation tool is a plus!
- High or native level of English is required.
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