Senior Backend Spark Developer (Big Data)

TL;DR

Senior Backend Spark Developer (Big Data): Designing and developing large-scale data processing solutions for a client contribution platform with an accent on Apache Spark, Scala/Python, and data pipeline optimization. Focus on leading technical architecture, ensuring system scalability and reliability, and mentoring team members within an Agile environment.

Company

hirify.global is an international advisory group specializing in innovation and transformation through technology, supporting clients across consulting, data, cloud, and application services.

What you will do

• Design, develop, and optimize scalable Big Data solutions using Apache Spark.
• Lead technical decisions and contribute to the architecture of data processing solutions.
• Develop, maintain, and optimize complex Big Data pipelines.
• Ensure the performance, scalability, and reliability of data processing applications.
• Collaborate with cross-functional stakeholders to define and implement technical solutions.
• Mentor junior and mid-level developers while promoting Agile and DevOps best practices.

Requirements

• 5+ years of hands-on experience developing Big Data solutions with Apache Spark.
• Strong programming proficiency in Scala (preferred) or Python.
• Solid SQL skills and experience with data modeling.
• Experience with Big Data platforms such as Azure Databricks or Apache Hive.
• Proven experience in Agile environments with CI/CD and DevOps tools (Git, GitHub, SonarQube, Nexus).
• English level B2+ or above.

Nice to have

• Experience with workflow orchestration tools like Control-M or Apache Airflow.
• Knowledge of Hadoop ecosystems.
• Experience with AI-assisted development tools or AI-driven initiatives.

Culture & Benefits

• Permanent, full-time contract with clear career development paths.
• Exposure to large-scale financial IT systems and international projects.
• Multicultural work environment.
• Training opportunities in finance, technology, and data management.