Join Us: Data Engineering to unlock value from Data (Milano-Torino)

Target Reply; Milano; In loco; EUR 35.000 - 55.000; Tempo pieno

Descrizione del lavoro

Target Reply in Milano is seeking a Data Engineer to work on data collection, storage, processing, and analysis. You will design data pipelines in big data frameworks, work with on-premise environments, and setup CI/CD pipelines.

The ideal candidate should hold a Bachelor's or Master's Degree in relevant fields and possess knowledge of Cloudera technologies, programming languages like Scala, Python, or Java, and cloud platforms like AWS or Azure.

Good English proficiency is essential. The company values diversity and inclusiveness.

Competenze

• Ability to work in a team with an open and proactive mindset.
• Good English, both written and spoken.

Mansioni

• Design and implementation of data pipelines within big data frameworks.
• Work with both on-premise big-data environments and cloud-based applications.
• Setup CI/CD and automated deployment pipelines.

Conoscenze

Cloudera technologies (HDFS, Spark, Hive)

Scala

Python

Java

Big Data applications (Spark, Kafka, Flink)

Cloud Platforms (AWS, Azure, GCP)

Atlassian suite (Confluence, Jira, Bamboo, BitBucket)

Formazione

Bachelor's or Master's Degree in Engineering/Computer Science, Statistics, Mathematics

Descrizione del lavoro

Target Reply's main goal: get value from data.

How? Leveraging on capabilities of our excellent employees, therefore on your capabilities!

Working in Target Reply means sitting at tier-one customers tables across several industries, playing a first level game bringing skills, value and capabilities on the most innovative data topics.

Cloud-Native solutions, Real-time architectures, Artificial Intelligence, Machine Learning: that ‘are our bread and butter.

We are looking for a Data Engineer (or wanna be) that will work on the collecting, storing, processing and analysing of huge sets of data.

The primary focus will be on implementing optimal solutions according to data platform capabilities and customers' guidelines.

Are you ready for joining us?

What will your daily "backlog" probably include?

• Design and implementation of data pipelines within big data frameworks (from data ingestion to data consumption)
• Work with both on-premise big-data environments and Cloud-based applications
• Setup CI/CD and automated deployment pipelines ensuring application delivery standards

Bachelor's or Master’s Degree ranging from Engineering/Computer Science, Statistics, Mathematics, or other data-centric disciplines is mandatory (not for the Internship).

Knowledge required (or alternately, desire to learn):

• Cloudera and all the main technologies involved (HDFS, Spark, Hive)
• At least one of the following languages: Scala, Python, Java
• Big Data applications: Spark (preferred), Kafka, Flink
• Cloud Platforms (at least one among AWS, Azure, GCP)
• Atlassian suite: Confluence, Jira, Bamboo, BitBucket

It's requested the ability to work within a group of resources, open and proactive mind-set.

Good English, both for writing and speaking, is a must.

If you've come to read this far, it means that you are the person that we are looking for!

Reply is committed to embracing diversity and creating an inclusive work environment by valuing the uniqueness of people regardless of age, gender, sexual orientation, religion, nationality or disabilities as protected by Italian Law (L.68/99).

Reply is committed to ensuring that our candidate selection methods are fair and just. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need.