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 replacing 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 high-volume financial data ingestion and transformation.
- Implement data quality checks, validation, reconciliation, security, access control, and compliance processes.
- Use Cloud Composer, Apache Airflow, Dataflow, Apache Beam, and Cloud Storage for workflow orchestration and batch or streaming processing.
- Develop, test, and deploy Python code for data processing, automation, API integrations, and custom solutions.
- Collaborate with product owners, analysts, and engineering teams and support BI tools including Qlik Sense, Tableau, and Looker.
- Apply banking and financial-sector data, regulatory, and reporting knowledge to compliance needs.
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 programming skills for data manipulation, scripting, and application development.
- Practical cloud computing experience and hands-on experience with BigQuery, Cloud Composer, Apache Airflow, Dataflow, Apache Beam, and Cloud Storage.
- Understanding of data warehousing, data flows, data feeds, data governance, data quality, and metadata management.
- Experience with Git-based source control, particularly Bitbucket.
- Experience working in an agile development environment.
- Solid understanding of banking and financial-sector data, regulations, and reporting.
- Nice-to-have experience with GKE, Cloud Functions, Pub/Sub, Dataproc, Terraform, real-time data processing, and BI tools such as Qlik Sense, Tableau, and Looker.
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.