Related skills
aws sql scala hadoop git📋 Description
- Design, develop, and maintain scalable regulatory reporting data models within a banking environment.
- Build, optimize, and monitor big data pipelines using Apache Spark (Scala) to process large volumes of financial data.
- Transform complex regulatory requirements into robust, production-ready data solutions in collaboration with Risk, Finance, and Compliance teams.
- Deploy and operate data solutions on AWS infrastructure, ensuring security, traceability, and auditability.
- Perform performance tuning, data quality controls, and troubleshooting to ensure high availability of critical reporting systems.
- Apply best practices in code quality, version control, CI/CD, and DevOps processes.
🎯 Requirements
- Proven experience with AWS services (S3, EMR, Glue, Lambda).
- Big Data technologies: Hadoop ecosystem, Hive, and Apache Spark with Scala.
- Advanced SQL skills with SQL testing.
- Hands-on experience with code repositories and build tools (Git, Maven).
- DevOps knowledge, including CI/CD tools (Jenkins), scripting, deployment processes, and Jira.
- Experience working in regulated or enterprise environments with high data governance standards.
🎁 Benefits
- Permanent contract with a competitive salary.
- Flexible working model with remote work options.
- Personalized career path and continuous learning (technical training, certifications, English lessons).
- Participation in stable, long-term projects with strong technical focus.
- Flexible working hours and work-life balance culture.
- Social benefits tailored to your needs.
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