5 дней назад
Data Engineer (Contractor) (Fintech)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (Contractor) (Fintech): Building and operating scalable data pipelines, data infrastructure, and MLOps automation for a payments platform with an accent on data quality, security, and cloud-based distributed processing. Focus on optimizing Spark and query workloads, enabling analysis-ready datasets, and implementing reliable CI/CD, governance, monitoring, and model versioning.
Location: Remote, based in Romania
Company
provides payment solutions, multicurrency accounts, and e-commerce tools that help businesses accept payments and grow.
What you will do
- Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations.
- Develop scalable data architecture and deliver curated, analysis-ready datasets for analysts and data scientists.
- Implement data quality, testing, monitoring, lineage, reliability, access controls, auditability, and governance practices.
- Optimize workflows for performance, cost, and scalability, including Spark jobs, queries, and partitioning strategies.
- Build and maintain MLOps automation covering ML CI/CD, environments, artifacts, and versioning of data, models, and code.
- Contribute to documentation, engineering standards, secure data handling, and continuous improvement of the data platform.
Requirements
- 3+ years of experience as a Data Engineer building and maintaining production-grade pipelines and datasets.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- Strong Python and SQL skills, including data structures, performance, and ETL/ELT optimization.
- Experience with orchestration tools such as Airflow, Dagster, or Databricks Workflows and distributed processing in the cloud.
- Experience with at least one major cloud provider: GCP, AWS, or Azure.
- Ability to troubleshoot data, infrastructure, pipeline, and deployment issues and communicate clearly with engineering, analytics, and business stakeholders.
Nice to have
- Strong GCP experience with BigQuery, Composer, Dataproc, Cloud Run, Dataplex, or Cloud Storage.
- Experience with incremental ingestion from databases and APIs, analytical data modeling, data warehouses, and dimensional concepts.
- Experience with CI/CD, Terraform, DataOps, data governance, observability, incident response, and data quality checks.
- Knowledge of model monitoring, including drift, performance degradation, bias checks, and alerting strategies.
Culture & Benefits
- Fully remote work within the Romania-based role location.
- International team operating in a high-technology environment.
- Access to Academy and LinkedIn Learning courses.
- Team-building activities, social events, and multinational professional networks.
- Compensation package and referral bonus.
Hiring process
- Submit an application form and CV in English.
- Applications are reviewed confidentially under GDPR, and only shortlisted candidates are contacted.
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