4 days ago
Bucharest, RomaniaSenior
Responsibilities
- Design, develop, and maintain scalable BigQuery data warehouse architecture, schemas, and data models.
- Lead the design and implementation of a cloud-native data warehouse to replace on-premise infrastructure.
- Optimize BigQuery datasets, tables, and views for performance, cost, governance, partitioning, clustering, query tuning, and workload management.
- Build data processing pipelines and ETL/ELT workflows for large-volume financial data ingestion, transformation, and loading.
- Implement data quality checks, validation, and reconciliation processes.
- Use BigQuery, Cloud Composer with Apache Airflow, Dataflow with Apache Beam, and Cloud Storage for data engineering workflows.
- Develop, test, and deploy Python code for data processing, automation, API integrations, and custom solutions.
- Explore and integrate GKE, Cloud Functions, Pub/Sub, and other GCP technologies while implementing security, access control, and compliance.
- Collaborate with product owners, analysts, and engineering teams to align technical solutions with business requirements.
- Support data needs for Qlik Sense, Tableau, and Looker and apply banking-sector data and regulatory knowledge to reporting.
- Participate in agile ceremonies and contribute to team collaboration.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- At least 5+ years of data engineering experience.
- Strong SQL knowledge, preferably on Google Cloud Platform.
- Expert-level Python skills for data manipulation, scripting, and application development.
- Practical experience with cloud computing and hands-on experience with BigQuery, Cloud Composer, Apache Airflow, Dataflow, Apache Beam, and Cloud Storage.
- Understanding of data warehousing, data flows, and data feeds.
- Experience with Git-based source control, particularly Bitbucket.
- Experience working in an agile development environment and participating in agile ceremonies.
- Solid understanding of banking and financial-sector data, regulations, and reporting.
- Experience with GKE, Cloud Functions, Pub/Sub, or Dataproc is a plus.
- Familiarity with CI/CD pipelines, DevOps practices, Terraform, data visualization tools, data governance, data quality, metadata management, or real-time data processing is a plus.
- Ability to work collaboratively in a dynamic environment.
Tech Stack
Categories
Data Engineering
About NTT DATA
NTT DATA is a Tokyo‑headquartered, publicly traded IT services firm within the NTT Group. It provides consulting, application development, system integration, cloud and enterprise application services, and managed/outsourcing services for large enterprises and public-sector organizations. The company operates in more than 50 countries and is listed on the Tokyo Stock Exchange.