Cloud Data Test Engineer
AI in this role
Background on what ING is about (Generic ING background):
ING Hubs Philippines (ING Hubs PH) is an international part of the ING organization delivering services to many Business Units across the world for both Wholesale Banking and Retail Banking activities. Working for ING Hubs PH means working with the most diverse workforce and where no challenge is the same.
At ING our purpose is to empower people to stay a step ahead in life and business. We believe that sustainable progress is driven by people with the imagination and determination to make a better future for themselves and those around them.
ING is changing what banking is. For you, that means plenty of opportunities for personal growth in a continuously evolving environment. If this is the environment you thrive in, then apply and join us in changing the future of banking!
Job Overview
We're seeking a Cloud Data Test Engineer proficient in testing cloud-based data solutions, with a strong background in Data testing. The ideal candidate will have hands-on experience ensuring the quality and reliability of data pipelines, structured data formats and able demonstrate expertise in end-to-end data validation within complex cloud environments.
Key Capabilities/Experience
- Minimum 8 years of industry experience performing hands on software testing, predominantly in data space
- Hands on experience in Microsoft Azure Cloud platform or any other cloud platform
Minimum Qualifications
- Strong proficiency in SQL
- Working knowledge of structured file formats.(CSV, JSON, XML, Avro, Parquet files, etc.)
- Proven python coding skills ( or similar)
- Working knowledge of Azure Synapse Workspace, such as Pipelines and Spark Notebooks, Pysparks.
- Understanding and hands on experience in Data Analysis and Profiling, Data Accuracy, Data Transformation, Data Completeness, Data Quality and Regression testing
- Hands on Test Automation experience ( Data or Other)
- Ability to work independently with no supervision
- Strong knowledge on ETL\Data warehouse testing and concepts
- Exposure to event streaming solutions such as Kafka
- Ability to plan and execute quality assurance activities throughout the development life cycle conforming to test strategy and best practices
- Experience in creating test plans, test strategies
- Ability to navigate through ETL tools and understand ETL code when required to troubleshoot issues.
- Experience in any programming languages is an advantage (e.g. C#, Java, Python, etc.)
- Experience in testing front end / middleware applications is an advantage.
- Ability to work collaboratively with onshore/offshore teams and interact confidently with business stakeholders.
- Excellent team player
- Ability to gain expertise in complex business systems quickly with attention to detail.
- Actively contribute to initiatives which support the growth and efficiency of the testing practice
- Flexibility and eagerness to learn new skills/systems at short notice. Takes responsibility and ownership and is self-driven.
How we score this
Cloud Data Test Engineer at ING scores 27 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.
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- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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