Software Engineer (Human Data Platforms)

Hired; Venezia; In loco; EUR 78.000 - 113.000; Tempo pieno

Descrizione del lavoro

Hired is hiring a Software Engineer (Human Data Platforms) to design, build, and maintain scalable data platforms that process human-generated datasets. The role focuses on backend services for real-time and batch processing, with collaboration across data science teams to ensure data integrity and accessibility.

The ideal candidate will have strong experience with Python/Java/Go, distributed systems like Kafka/Spark, and cloud infrastructure (AWS/GCP/Azure).

Competenze

• Proficiency in Python, Java, or Go for backend development.
• Experience with distributed systems, including Kafka, Spark, or similar technologies.
• Knowledge of cloud platforms such as AWS, GCP, or Azure for data infrastructure.
• Familiarity with SQL and NoSQL databases for data storage and retrieval.
• Understanding of data governance, security, and compliance best practices.
• Ability to design and optimize data pipelines for performance and scalability.

Mansioni

• Design, build, and optimize data pipelines to process human-generated datasets at scale.
• Develop and maintain backend services that support real-time and batch data processing.
• Collaborate with data scientists and analysts to ensure data integrity and accessibility.
• Implement monitoring, logging, and alerting systems to maintain platform reliability.
• Contribute to architectural decisions that enhance scalability and performance of data systems.

Conoscenze

Python

Java

Go

Distributed systems

SQL

Strumenti

Kafka

Spark

Docker

Kubernetes

AWS/GCP/Azure

Descrizione del lavoro

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

Role Overview:

We are hiring for one of our clients, seeking a Software Engineer (Human Data Platforms) to work on a full-time basis. The role involves designing, developing, and maintaining scalable data platforms that process and analyze human-generated datasets. The position requires expertise in handling large-scale data infrastructure while ensuring performance, reliability, and security.

Key Responsibilities:

• Design, build, and optimize data pipelines to process human-generated datasets at scale.
• Develop and maintain backend services that support real-time and batch data processing.
• Collaborate with data scientists and analysts to ensure data integrity and accessibility.
• Implement monitoring, logging, and alerting systems to maintain platform reliability.
• Contribute to architectural decisions that enhance scalability and performance of data systems.

Required Skills & Qualifications:

• Proficiency in Python, Java, or Go for backend development.
• Experience with distributed systems, including Kafka, Spark, or similar technologies.
• Knowledge of cloud platforms such as AWS, GCP, or Azure for data infrastructure.
• Familiarity with SQL and NoSQL databases for data storage and retrieval.
• Understanding of data governance, security, and compliance best practices.
• Ability to design and optimize data pipelines for performance and scalability.
• Experience with containerization and orchestration tools like Docker and Kubernetes.
• Strong problem-solving skills and attention to detail in debugging complex systems.

More About the Opportunity:

This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | Data Infrastructure and Analytics industry, contributing to the development of robust data platforms that power critical business decisions. The position involves solving complex technical challenges in a collaborative, distributed team environment.

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.