Data Engineer

TN Italy; Mantova; Remoto; EUR 40.000 - 70.000; Tempo pieno

Descrizione del lavoro

A leading company is seeking a Data Engineer to design and implement data pipelines, ensuring data quality and performance. The role involves collaboration with various teams to deliver high-quality data solutions. This is a fully remote position, ideal for innovative individuals eager to contribute to cutting-edge projects.

Competenze

• Proficiency in Python and data engineering skills.
• Experience with CI/CD processes and data testing.

Mansioni

• Design and implement data pipelines in collaboration with teams.
• Ensure reliability and optimal performance of data assets.
• Collaborate with engineers and data scientists for end-to-end products.

Conoscenze

Software Engineering

Python

Communication

Data Modeling

Data Architecture

Strumenti

PySpark

Databricks

Azure Data Factory

Synapse Analytics

YAML

Descrizione del lavoro

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Role: Data Engineer

Herzumis is seeking a Data Engineer to join our team and support one of our clients.

Key Responsibilities:

1. Design and implement data pipelines in collaboration with data users and engineering teams.
2. Ensure reliability, data quality, and optimal performance of data assets.
3. Translate complex business and analytics requirements into high-quality data assets.
4. Deliver high-quality, maintainable code focusing on simplicity and performance.
5. Redesign and implement existing data pipelines using the latest technologies and best practices.
6. Collaborate with solution engineers, data scientists, and product owners to deliver end-to-end products.
7. Support partners with proof of concept initiatives and technical data-related questions.

Required Skills:

1. Strong software/data engineering skills and proficiency in at least one programming language, preferably Python.
2. Good knowledge of distributed computing frameworks, with PySpark being a must-have; additional frameworks are a plus.
3. Familiarity with system design, data structures, algorithms, storage systems, and cloud infrastructure.
4. Understanding of data modeling and data architecture concepts.
5. Experience with CI/CD processes, data testing, and monitoring.
6. Knowledge of Delta Lake protocol and Lakehouse architectures.
7. Experience with Databricks and Azure data services such as Azure Data Factory, Synapse Analytics, or Fabric.

Additional Skills:

1. Ability to work effectively with both technical and non-technical team members.
2. Strong communication skills to explain complex technical concepts clearly to non-technical audiences.
3. Proficiency in English.
4. Experience with YAML is a plus.

Work Mode:

Full remote.

Join Us!

Become part of a team driven by innovation, talent, and excellence. Your next career step starts here.

This announcement is addressed to all genders and ages, respecting applicable laws and regulations.