Description

You will design and build enterprise-scale data applications and system integrations for complex financial environments.

This role is hybrid.

Responsibilities

• Develop robust data pipelines and applications using Scala, Java, or Python.
• Design and consume APIs for seamless system integration.
• Manage data processing workflows using Hive, PySpark, and Spark.
• Implement CI/CD pipelines and automation testing with Selenium.
• Ensure compliance with capital markets regulations and secure enterprise standards.

Required Skills

• Strong expertise in object-oriented and functional programming (Scala, Java, Python).
• Advanced SQL skills and experience with MongoDB.
• Proficiency in PySpark, Spark, and Hive for big data processing.
• Experience designing and consuming RESTful APIs and system integrations.
• Familiarity with CI/CD pipelines and DevOps practices.
• Knowledge of Agile/Scrum methodologies in controlled enterprise environments.
• 8+ years of software engineering experience.

Preferred Skills

• Background in financial systems, capital markets, or trade lifecycle concepts.
• Experience with event-driven systems, messaging, or distributed architectures.
• Familiarity with international regulations such as MAD/MAR.

Key Skills

Education

Any Graduate