Senior Data Engineer

2 days ago

Gurgaon, Haryana, India Deutsche Telekom Digital Labs Full time
Job Description

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 Regiour

- 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.

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