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It data engineer - scalable data architectures

Trieste
beBee Careers
IT
Pubblicato il 14 giugno
Descrizione

As a Junior IT Data Engineer, you will play a key role in supporting the expansion and optimization of our data architecture and data pipeline.

We are seeking an experienced professional to design, implement, and maintain scalable data architectures, data models, and databases that support business analysis and reporting needs.

* Data Pipeline Development: Build, maintain, and optimize data pipelines for extracting, transforming, and loading (ETL) data from various sources.
* Data Architecture Design: Design and implement scalable data architectures to support business analysis and reporting needs.
* Data Integration: Integrate data from various internal and external sources, ensuring data quality and consistency across systems.
* Data Governance: Implement data validation controls, data quality metrics, and maintain data governance practices to ensure data accuracy and security.
* Big Data Processing: Work with large-scale data processing frameworks and other distributed systems to manage big data workloads.
* Cloud Data Solutions: Leverage cloud-based data solutions and infrastructure for data storage, processing, and analysis.
* Collaboration: Collaborate with stakeholders to understand data needs and ensure data infrastructure aligns with business objectives.

Requirements:

* Bachelor's degree in Information Technology, Computer Science, or related field.
* 1 year of experience as IT data engineering, preferably in environments with production plants.
* Experience with ETL tools, SQL, Python, or other programming languages used for data processing, and knowledge of data pipeline orchestration tools.
* Experience with big data tools and platforms, proficiency in distributed computing concepts, and knowledge of cloud data services.
* Fluent English.

This role requires a strong understanding of data engineering principles and practices, as well as excellent collaboration and communication skills. If you are passionate about working with data and have a strong technical background, we encourage you to apply for this exciting opportunity.

Why choose us?

We offer a dynamic and inclusive work environment, opportunities for growth and development, and a competitive compensation package.

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