Data Engineer

2 weeks ago

Gurugram, India Questhiring Full time

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 solutionsData 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. (ref:hirist.tech)

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