Cloud Data Engineer (GCP) @ ING Hubs Romania
Bucharest - Dacia One, Romania
Discover ING Hubs Romania
ING Hubs Romania offers 130 services in software development, data management, non-financial risk & compliance, audit, and retail operations to 24 ING units worldwide, with the help of over 1700 high-performing engineers, risk, and operations professionals.
We started out in 2015 as ING’s software development hub – a distinct entity from ING Bank Romania – then steadily expanded our range to include more services and competencies. Now we provide borderless services with bank-wide capabilities and operate from two locations: Bucharest and Cluj-Napoca.
Our tech capabilities remain the core of our business, with more than 1500 colleagues active in Data Management, Touchpoint Channels & Integration, Core Banking, and Global Products. We enjoy a flexible way of working and a highly collaborative environment, where fair and constructive feedback is encouraged.
For us, impact isn't a perk. It's the driver of our work.
We are guided and rewarded by a shared desire to make the world a better place, one innovative solution at a time. Our colleagues make it their job to do impactful things and they love doing it in good company. Do you?
The Mission
We hire smart people like you for your potential. Our biggest expectation is that you’ll stay curious. Keep learning. Take on responsibility. In return, we’ll back you to develop into an even more awesome version of yourself.
The candidate has a hands-on and “DevOps” mindset, a strong customer- and problem-solving orientation, show fast results, and have demonstrated good communication skills, especially in an international IT organization.
Your Day To Day
- As a Cloud Data Engineer, you contribute and are responsible for the design, development, testing and documentation of components and data pipelines for the extraction and provision of structured and unstructured data within a Google Cloud environment in which data-scienitsts can develop, train and execute machine learning models.
- You ensure fresh data is provided in the Google Cloud environment (e.g. ingesting the data from our datalake, pseudonimize that data and move it into BigQuery so it is available for the data-scientists).
- You have a strong focus on performance, large data sets and towards event-driven architecture
- You assess the efficiency of end-to-end processes by identifying and mitigating risks
- You continuously improve and optimize the ingestion, post-processing and reporting layer of the data platform
- You standardize and reutilize automation patterns as part of the data ingestion and processing stages
- You design and develop automated unit, integration and regression tests
- You prove strong analytical skills, proactivity and ability to work in cross-border international teams.
- You work in an Agile environment, collaborate closely with the Product Owner and Customer Journey Expert to interpret business requirements and estimate, plan, implement, test and deliver as part of short delivery cycles.
- You focus on delivering working software of high quality that satisfies customer requirements.
Tech stack/knowledge:
- Work experience in complex environments
- Work experience with BigData systems (e.g. Hadoop / Dataproc / BQ )
- Work experience Relational Databases (SQL DDL DML)
- NiFi experience building flows
- Experience with cloud environment (preferably GCP)
- Streaming data systems (Kafka)
- OS Linux (RedHat)
- Python / Bash
- CI/CD Tooling and pipelines (preferably Azure based)
- Automated deployment and provisioning tools such as Ansible / Terraform
- GIT
- Security Mindset (sharp on vulnerabilies detection & prevention)
Foreign languages: English (advanced)
Education: nice to have Bachelor’s Degree (or higher) in an IT related field..
If you want to deep dive into the processing of personal data conducted by ING Hubs Romania during the recruitment process and your rights related to it, read the privacy notices on our website (make sure to scroll until you reach the Data Protection section/ Candidates tab).
If you want to deep dive into the processing of personal data conducted by ING Hubs Romania during the recruitment process and your rights related to it, read the privacy notices on our website (make sure to scroll until you reach the Data Protection section/ Candidates tab).
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Ansible Architecture Azure Banking BigQuery CI/CD Data management Data pipelines Dataproc DDL DevOps GCP Git Google Cloud Hadoop Kafka Linux Machine Learning ML models NiFi Pipelines Privacy Python RDBMS Security SQL Streaming Terraform Testing Unstructured data
Perks/benefits: Flex hours
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