Design, build, and maintain robust data pipelines that are scalable, efficient, and meet business needs.2 Collaborate with cross-functional teams to understand and translate business requirements into data solutions.3 Ensure data quality, integrity, and governance by implementing best practices in data management.4 Develop ETL processes and data flows using tools like PySpark, Informatica, and Airflow.5 Support and enhance data platforms, databases, and data warehouses to enable advanced analytics.6 Implement CI/CD pipelines using GitHub Actions and JFrog for automated deployment and version control.7 Troubleshoot data pipelines and address any issues with real-time, batch data processing, and integrations. Candidate should have Finish secured clearance (more than 3 yrs in Finland) or eligible to apply for the same2. Proficient in PySpark, Apache Airflow, Kubernetes.Expertise with Oracle and PL/SQL, AWS & Github actions 2. Operating Systems: Proficiency in Unix