Data Engineer (Remote)

Hire Feed; Parma; Remoto; EUR 79.000 - 114.000; Tempo pieno

Descrizione del lavoro

Hire Feed is seeking a Data Engineer to design, build, and maintain scalable data pipelines supporting real-time and batch processing. You will collaborate with cross-functional teams to ensure data integrity and accessibility across the organization, with a remote, full-time arrangement.

In this role, you will work with Python, SQL, Airflow, and cloud data services across AWS, GCP, and Azure, building robust data models and governance practices while optimizing pipelines for performance and

Competenze

• Experience designing and maintaining data pipelines.
• Strong knowledge of ETL/ELT concepts and data warehousing.
• Experience with cloud data services and modern data stacks.

Mansioni

• Design and implement ETL/ELT pipelines to ingest, transform, and load data from multiple sources.
• Develop and optimize data models to support analytics and reporting needs.
• Collaborate with data scientists and analysts to ensure data quality and availability.
• Monitor pipeline performance and troubleshoot issues to ensure reliability.
• Implement and enforce data governance, security, and compliance standards.

Conoscenze

Python

SQL

Airflow

Data pipelines

Strumenti

AWS

GCP

Azure

BigQuery

Redshift

S3

Spark

Hadoop

Kafka

Descrizione del lavoro

• Role: Data Engineer (Remote)
• Location: Remote (Work from Anywhere)

Role Overview:

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 that support real-time and batch processing systems. You will collaborate with cross-functional teams to ensure data integrity and accessibility across the organization.

Key Responsibilities:

• Design and implement ETL/ELT pipelines to ingest, transform, and load data from multiple sources into data warehouses and lakes.
• Develop and optimize data models to support analytics and reporting needs.
• Collaborate with data scientists and analysts to ensure data quality and availability for downstream applications.
• Monitor pipeline performance and troubleshoot issues to maintain system reliability.
• Implement and enforce data governance, security, and compliance standards.

Required Skills & Qualifications:

• Proficiency in Python, SQL, and experience with data pipeline tools like Apache Airflow or similar.
• Experience with cloud platforms (AWS, GCP, or Azure) and their data services (e.g., BigQuery, Redshift, S3).
• Strong understanding of data warehousing concepts and dimensional modeling.
• Familiarity with big data technologies (e.g., Spark, Hadoop) and streaming platforms (e.g., Kafka).
• Knowledge of data governance, metadata management, and data quality frameworks.

More About the Opportunity:

This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of scalable data infrastructure that powers enterprise-wide analytics. The position supports high-impact projects with a focus on innovation and efficiency.

Equal Opportunity Employer:

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.