Senior Data Engineer(BQ)
Bucuresti, RO
Who We Are
We seek a highly skilled Senior BigQuery Data Engineer with strong Python expertise to design and deliver high-performance data solutions within OneMIS. This pivotal role supports complex reporting functions and leads the migration of on-premise data platforms to Google Cloud Platform (GCP). You will manage large-scale financial datasets, ensuring secure, compliant, and low-latency data solutions for analytics and decision-making. This role demands technical mastery, problem-solving acumen, and a deep understanding of data best practices in the financial sector
What You’ll Be Doing
- Design, develop, and maintain scalable BigQuery data warehouse solutions (architecture, schema, data modeling)
- Lead cloud-native data warehouse design and implementation to replace on-premise infrastructure
- Optimize BigQuery datasets, tables, and views for performance, cost, and governance through partitioning, clustering, query tuning, and workload management
- Build robust data processing pipelines and workflows feeding BigQuery from diverse sources
- Develop and maintain efficient ETL/ELT processes for large-volume financial data ingestion, transformation, and loading
- Implement comprehensive data quality checks, validation, and reconciliation processes
- Utilize and optimize core GCP services: BigQuery, Cloud Composer (Apache Airflow) for workflow orchestration, Dataflow (Apache Beam) for batch/streaming, and Cloud Storage
- Develop, test, and deploy high-quality Python code for data processing, automation, API integrations, and custom solutions, adhering to best practices (Git, testing, documentation)
- Explore and integrate other relevant GCP technologies (e.g., GKE, Cloud Functions, Pub/Sub) and implement security, access control, and compliance
- Collaborate with product owners, analysts, and engineering teams to align solutions with business requirements
- Actively participate in agile ceremonies and foster team collaboration
- Support data needs for BI tools (Qlik Sense, Tableau, Looker).
- Apply strong understanding of banking/financial sector data, regulations, and reporting for compliance.
What We’re Looking For
- Bachelor’s degree in Computer Science, Engineering, or related field
- At least 5+ years of data engineering experience
- Strong SQL knowledge, preferably on Google Cloud Platform (GCP).
- Expert-level Python programming skills for data manipulation, scripting, and application development.
- Proven experience with Cloud Computing, demonstrating practical application of cloud services.
- Direct hands-on experience with core GCP services: BigQuery, Cloud Composer (Apache Airflow) for DAG development/orchestration, Dataflow (Apache Beam) for batch/streaming pipelines, and Cloud Storage
- Good understanding of data warehousing concepts, data flows, and data feeds
- Experience with Git-based source control, particularly Bitbucket
- Experience working in an agile development environment with familiar agile ceremonies
- Solid understanding of the banking and financial sector, including data types and regulatory landscapes
- Ability to work collaboratively in a dynamic environment
Nice to Have:
- Experience with other GCP services (GKE, Cloud Functions, Pub/Sub, Dataproc)
- Familiarity with CI/CD pipelines and DevOps practices
- Experience with Infrastructure as Code (Terraform)
- Knowledge of data visualization tools (Qlik Sense, Tableau, Looker)
- Understanding of data governance, data quality, and metadata management
- Experience with real-time data processing
What’s in it for you
✔ New beginnings can be a challenge. We promise a smooth integration and a supportive mentor
✔ Pick your working style: choose from Remote, Hybrid or Office work opportunities
✔ Early bird or night owl? Our projects have different working hours to suit your needs
✔ Nobody is born an expert. Sharpen your tech skills with our sponsored certifications, trainings and top e-learning platforms
✔ We want you to stay healthy! Enjoy our Private Health Insurance – it’s custom-made for you
✔ A clear mind is a healthy mind. Attend individual coaching sessions or go one step further by joining our accredited Coaching School
✔ Make the most of our epic parties or themed events – they’re lovingly designed for our people and their families
NTT DATA Romania is an equal opportunity employer and considers all applicants regardless to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees.
Not the job for you? Perhaps you have a friend who would be a perfect fit. Send them this link!
Third parties fraudulently posing as NTT DATA recruiters
NTT DATA recruiters will never ask job seekers and candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties that may try to impersonate NTT DATA recruiters, either in writing or by phone, in an attempt to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will be associated with an @nttdata.com email address. NTT DATA will not use any non-NTT DATA or personal email domains (Gmail, Yahoo, etc.) or personal communication channels (WhatsApp, Facebook etc) at any time during the recruitment process. If you suspect any fraudulent activity, please contact us.
Job Segment:
Data Warehouse, Cloud, Data Modeler, Compliance, Computer Science, Technology, Data, Legal