Inetum
Tech / AI / Software
DataEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Data Engineer at Inetum. Skills: data pipelines, data storage, data processing, data quality, data integrity, data security. Develop and maintain scalable, reliable, and efficient data pipelines. Optimize the collection, storage, and processing of large data volumes”
Industry & Context.
What They're Looking For.
Must Have
Spark (PySpark), Cloudera, SQL, Hive/Impala, Datawarehouse/Data lake, English
What You'll Do.
Develop and maintain scalable
and efficient data pipelines
Optimize the collection
and processing of large data volumes
Implement data storage solutions in cloud
or on-premises environments
How You'll Work.
Team & Collaboration
Collaborate with data scientists, analysts, and other stakeholders to understand the company’s data needs.
Full Job Description
Inetum is a European leader in digital services. Inetum’s team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetum’s solutions aim at contributing to its clients’ performance and innovation as well as the common good. Present in 19 countries with a dense network of sites, Inetum partners with major software publishers to meet the challenges of digital transformation with proximity and flexibility.Driven by its ambition for growth and scale, Inetum generated sales of 2.5 billion euros in 2023. We are seeking a talented and motivated Data Engineer to join our team. If you have a passion for working with large data sets, creating efficient pipelines, and turning data into actionable insights, we want to meet you! Responsibilities: * Develop and maintain scalable, reliable, and efficient data pipelines. * Optimize the collection, storage, and processing of large data volumes. * Collaborate with data scientists, analysts, and other stakeholders to understand the company’s data needs. * Ensure data quality, integrity, and security. * Implement data storage solutions in cloud, hybrid, or on-premises environments. ## Qualifications * Experience with Spark (PySpark), Cloudera, SQL, Hive/Impala, Datawarehouse/Data lake * Fuent in English
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