Data Infrastructure Engineer (Remote)

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Guntín, Spain
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Airflow Amazon Web Services Microsoft Azure Big Data Cloud Computing Information Engineering Data Infrastructure Extract Transform Load (ETL) Data Systems Document-Oriented Databases NoSQL Software Engineering
+5 more
SQL Databases Apache Spark Data Lakes Data Management Data Pipelines

Job description

Role : Data Infrastructure Engineer (Remote)Location : Remote (Work from Anywhere)We are hiring for one of our clients, seeking a Data Engineer to work on a full-time basis.The role involves designing, building, and maintaining scalable data pipelines and infrastructure.You will collaborate with cross-functional teams to deliver high-quality data solutions that support business insights and decision-making.Design, develop, and optimize data pipelines to extract, transform, and load large datasets.* Implement and maintain data warehouses and data lakes to support analytical and operational reporting.* Collaborate with data scientists and analysts to ensure data accessibility and integrity.* Monitor pipeline performance and troubleshoot issues to ensure reliability and efficiency.* Document data architecture, processes, and standards for team reference and compliance.Proficiency in SQL and experience with relational and NoSQL databases.* Experience with ETL/ELT tools such as Airflow, Spark, or similar frameworks.* Knowledge of data modeling and warehouse design principles.* Familiarity with cloud platforms like AWS, GCP, or Azure for data infrastructure.* Strong problem-solving skills with attention to scalability and performance.This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the development of data-driven solutions that enhance customer experiences.You will be part of a team that values technical excellence and innovation in data engineering.All qualified candidates are welcome regardless of background, experience, or prior employment history.

Requirements

Proficiency in SQL and experience with relational and NoSQL databases.

  • Experience with ETL/ELT tools such as Airflow, Spark, or similar frameworks.
  • Knowledge of data modeling and warehouse design principles.
  • Familiarity with cloud platforms like AWS, GCP, or Azure for data infrastructure.
  • Strong problem-solving skills with attention to scalability and performance. This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the development of data-driven solutions that enhance customer experiences. You will be part of a team that values technical excellence and innovation in data engineering. All qualified candidates are welcome regardless of background, experience, or prior employment history.

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Apply on www.buscojobs.com.es
Prepare application

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