19 hours ago

Consultant Specialist (Senior Consultant Specialist)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Design, build, and optimize large-scale data pipelines using Hadoop and distributed data platforms. Lead real-time and streaming implementations for low-latency use cases, improving reliability, scalability, observability, and performance across batch and streaming. Partner with data, analytics, and product teams to translate requirements into platform capabilities while driving modernization via reusable frameworks and engineering best practices. Mentor engineers and uphold data quality, governance, and operational excellence with cloud-aligned deployment patterns on GCP and Alibaba Cloud.

Location: Xi'an

Workplace: Onsite

Employment Type: Full time

Job Function: Consulting & Advisory

Seniority: Mid level

Key Responsibilities

•Design, build, and optimize large-scale data pipelines on Hadoop and distributed data platforms.
•Lead implementation of real-time and streaming data solutions for low-latency use cases.
•Improve platform reliability, scalability, observability, and performance across batch and streaming workloads.
•Partner with data, analytics, and product teams to translate business requirements into platform capabilities.
•Drive platform modernization initiatives and mentor engineers in data quality, governance, and operational excellence.

Key Requirements

•Hands-on experience with Hadoop ecosystem technologies and distributed data platforms.
•Expertise in real-time data processing and streaming architecture (design, implementation, and operations).
•Solid software engineering fundamentals, including coding, testing, CI/CD, and production support.
•Experience designing scalable, fault-tolerant, and secure data platform components.
•Ability to troubleshoot complex data pipeline and platform issues in production. (Includes stakeholder communication and ownership.)

Skills:Stakeholder communicationTroubleshootingOwnership mindsetMentoringEngineering discipline

Tech Stack:HadoopDistributed data platformsReal-time data processingStreaming architectureCI/CDGCPAlibaba CloudCloud-aligned deployment patternsData governanceData lineageMetadata managementContainerizationOrchestration

Company Brief

HSBC

Global banking and financial services organisation offering retail, commercial, corporate and investment banking, wealth management, and global markets services across Europe, Asia, the Americas and the Middle East.

Industry: Banking

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: London, United Kingdom

Founded: 1865

Glassdoor: 3.6

Website LinkedIn

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HSBC

19 hours ago

Consultant Specialist (Senior Consultant Specialist)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Location: Xi'an

Workplace: Onsite

Employment Type: Full time

Job Function: Consulting & Advisory

Seniority: Mid level

Key Responsibilities

•Design, build, and optimize large-scale data pipelines on Hadoop and distributed data platforms.
•Lead implementation of real-time and streaming data solutions for low-latency use cases.
•Improve platform reliability, scalability, observability, and performance across batch and streaming workloads.
•Partner with data, analytics, and product teams to translate business requirements into platform capabilities.
•Drive platform modernization initiatives and mentor engineers in data quality, governance, and operational excellence.

Key Requirements

•Hands-on experience with Hadoop ecosystem technologies and distributed data platforms.
•Expertise in real-time data processing and streaming architecture (design, implementation, and operations).
•Solid software engineering fundamentals, including coding, testing, CI/CD, and production support.
•Experience designing scalable, fault-tolerant, and secure data platform components.
•Ability to troubleshoot complex data pipeline and platform issues in production. (Includes stakeholder communication and ownership.)

Skills:Stakeholder communicationTroubleshootingOwnership mindsetMentoringEngineering discipline

Company Brief

HSBC

Industry: Banking

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: London, United Kingdom

Founded: 1865

Glassdoor: 3.6

Website LinkedIn