10 часов назад
Senior Data Engineer Senior Data Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (AWS/Data Mesh): Designing and improving end-to-end data ingestion, processing, storage, and sharing solutions for an international banking project across AWS and Oracle DB environments with an accent on ETL/ELT pipelines, Data Mesh, and legacy DWH modernization. Focus on building reliable data architectures, implementing monitoring and alerting, and supporting EOD incident resolution during the ROTA rotation.
Location: Fully remote within Lithuania, Estonia, Latvia, or Poland. EU citizenship or a valid work permit is required. The role includes a one-week ROTA rotation with availability until 23:00–24:00 for EOD incident troubleshooting and resolution.
Company
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What you will do
- Design, implement, and improve data ingestion, processing, storage, and sharing systems across cloud and legacy DWH environments.
- Build and optimize AWS and Oracle DB data architectures for performance, scalability, availability, and reliability.
- Develop and maintain ETL/ELT pipelines using tools such as Airflow, dbt, and SAP Data Services.
- Support Data Mesh, Data Products, Medallion architecture, and modernization of legacy data systems toward cloud platforms.
- Implement data workflow monitoring and alerting, perform code reviews, troubleshoot software, and resolve defects.
- Collaborate with analysts, software engineers, and business stakeholders in a cross-functional Agile team supporting banking needs.
Requirements
- Proven experience with SQL and Python.
- Hands-on experience with AWS, Azure, or GCP and data pipeline tools such as Airflow or dbt.
- Working knowledge of Oracle DB, SAP IQ, SAP Data Services, and SAP Business Objects.
- Knowledge of real-time, message-based, and event-driven integrations, including connections between legacy systems and modern data platforms.
- Experience with test automation, DevOps, infrastructure as code, security practices, CI/CD, SDLC, Data Products, Medallion architecture, and Data Mesh.
- Fluent English is required, along with EU citizenship or a valid work permit.
Nice to have
- Banking or customer business domain experience.
- Experience with Kubernetes, Docker, Kafka, Spark, or Flink.
- Experience with Power BI, SQL and NoSQL databases, or Java development.
Culture & Benefits
- Fully remote work within the listed locations.
- Cross-functional Agile collaboration in a Pan-Baltic international environment.
- Opportunity to work on banking data platforms spanning cloud and on-premises systems.
- Participation in a one-week ROTA rotation for EOD incident support.
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