Data Engineer

About the job :

Responsibilities :

- Work closely with product managers to understand customer needs and translate those into technical requirements.

- Build and maintain scalable data management and serving infrastructure on cloud, managing terabytes of data and integrating cost.

- Design a comprehensive target data architecture vision working closely with product, design and development and NatCo teams to plan transition towards the target vision.

- Responsible for implementation of architecture concepts in product development and services

- Consult and engage with engineering teams to solve problems at their root cause

- Create deliverables that provide exceptional clarity and connections to business objectives

- Assess emerging technologies and perform proof of concepts

- Collaborate with product teams, design teams, NatCOs, enterprise architects and provide optimized solutions that provide business outcomes

- Provide strategic direction and technical oversight pertaining to the implementation of new tools, technologies and solutions

Data Specialization :

- Comprehensive and expert knowledge with more than 5 years of Data Management and Data-Architectures (DWH, Spark, Lakehouse)

- Deep understanding of concepts and principles relating to both Batch and Streaming data, as well as API/Microservices architectures, Data warehouses & Mesh Architectures.

- Strong expertise in Big Data Applications, Architecture best practices, and experience with the pitfalls of legacy Data Warehouses and Big Data platforms.

- Al exposure and an excellent understanding of the decision engine concepts and how to best implement MLOps within an enterprise.

- Rich and comprehensive experience in understanding the impact of emerging trends on the organization in data tools, analysis techniques, and data usage.

- Experience in software engineering and programming languages (Java, Scala).

- Proven track record of working with globally federated IT teams, and understands the challenges involved, but can still bring teams and people together to deliver a shared outcome.

- Data Modelling experience (e.g., Information framework SID, Data Vault 2.0)

Security and Regulatory :

- Experienced in implementing solutions that protect sensitive and regulated Customer data and can define technically secure and regulatory sound solutions.

- Experienced in dealing with Security Architecture concepts like identity and access management, network isolation, transport protection, cloud security specifics, encryption & key management, and robust knowledge of data privacy treatment techniques.