As a Senior Engineer II – data Engineer inside our Global Risk and Compliance Technology agency, you will play a pivotal function in platform modernization. This position specializes in leveraging the latest technology stacks to satisfy our industrial enterprise’s evolving desires while ensuring compliance with international regulatory necessities.

Key Responsibilities

In this characteristic, you may be liable for growing and trying out software program, which incorporates ongoing refactoring of code and driving continuous improvement in code form and top-notch. Your primary attention can be on writing code, growing API specs, challenging code opinions, and trying out during ongoing sprints. You can even use evidence of principles and automation gadgets to beautify our capabilities.

As a middle member of an Agile team, you will drive man or woman story assessment and elaboration, format and boom software software programs, and automate builds. You will artwork on precise structures or merchandise, or as a part of a dynamic aid pool assigned to tasks primarily based on demand and organization priorities. Your position may also involve figuring out opportunities to undertake modern technology and important and mentoring a team of engineers.

Qualifications

To be considered for this characteristic, candidates must possess a Bachelor’s degree or higher in Computer Science, Information Systems, Engineering, or a related discipline. You also need to have at least 12 years of confirmed experience in current cloud information engineering and a robust background in software engineering.

Essential Skills:

• Proficiency in building surrender-to-quit records structures and data services in Google Cloud Platform (GCP) is essential.
•  Senior Engineer II – Data EngineerExperience with tools and eras together with BigQuery, Cloud Functions, Cloud Run, Dataform, Dataflow, Dataproc, SQL, Python, Airflow, PubSub, and Spark.
• Familiarity with microservices architectures, Kubernetes, Docker, and Cloud Run.
• Expertise in architecting and designing batch and real-time streaming infrastructure and workloads.
• Solid experience in enforcing metadata manipulation, such as records catalogs, statistics lineage, high-quality facts, and information observability for massive statistics workflows.
•  Senior Engineer II – Data Engineer Hands-on experience with the GCP surroundings and facts about lakehouse architectures.
• A robust record of facts modeling, statistics structure, and statistics governance standards.
•  Senior Engineer II – Data Engineer Excellent experience with DataOps ideas, check automation and observability tooling.