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Urgent! Data Engineering Architect Job Opening In Singapore, Singapore – Now Hiring Unitech Consulting

Data Engineering Architect



Job description

We are seeking a highly proficient and results-driven Data Engineering Architect with a robust background in designing, implementing, and maintaining scalable and resilient data ecosystems.

The ideal candidate will possess a minimum of five years of dedicated experience in orchestrating complex data workflows and will serve as a key contributor within our advanced data services team.

This role requires a meticulous professional who can transform intricate business requirements into high-performance, production-grade data solutions.

Key Responsibilities:

  • Architectural Stewardship: Design, develop, and optimize sophisticated data pipelines leveraging distributed computing frameworks to ensure efficiency, reliability, and scalability of data ingestion, transformation, and delivery layers.

  • SQL Mastery: Act as a subject matter expert in SQL, crafting and refining highly complex, multi-layered queries and stored procedures for advanced data manipulation, extraction, and reporting, while ensuring optimal performance and resource utilization.

  • Distributed Processing Expertise: Lead the development and deployment of data processing jobs using Apache Spark , orchestrating complex data transformations, aggregations, and feature engineering at petabyte-scale.

  • Big Data Orchestration: Proactively manage and evolve our data warehousing solutions built on Apache Hive , overseeing schema design, partition management, and query optimization to support large-scale analytical and reporting needs.

  • Collaborative Innovation: Work synergistically with senior engineers and cross-functional teams to conceptualize and execute architectural enhancements, data modeling strategies, and systems integrations that align with long-term business objectives.

  • Quality Assurance & Governance: Establish and enforce rigorous data quality standards, implementing comprehensive validation protocols and monitoring mechanisms to guarantee data integrity, accuracy, and lineage across all systems.

  • Operational Excellence: Proactively identify, diagnose, and remediate technical bottlenecks and anomalies within data workflows, ensuring system uptime and operational stability through systematic troubleshooting and root cause analysis.

Required Competencies & Qualifications:

  • Educational Foundation: Bachelor's degree in Computer Science, Information Systems, or a closely related quantitative field.

  • Experience: A minimum of five (5) years of progressive, hands-on experience in a dedicated data engineering or equivalent role, with a proven track record of delivering enterprise-level data solutions.

  • Core Technical Skills:
    SQL: Expert-level proficiency in SQL programming is non-negotiable, including advanced query optimization, window functions, and schema design principles.

Distributed Computing: Demonstrated high-level proficiency with Apache Spark for large-scale data processing.

Data Warehousing: In-depth, practical experience with Apache Hive and its ecosystem.
- Conceptual Knowledge: Deep understanding of data warehousing methodologies, ETL/ELT processes, and dimensional modeling.
- Analytical Acumen: Exceptional problem-solving and analytical capabilities, with the ability to dissect complex technical challenges and formulate elegant, scalable solutions.
- Continuous Learning: A relentless curiosity and a strong desire to stay abreast of emerging technologies and industry best practices.
- Domain Preference: Prior professional experience within the Banking or Financial Services sector is highly advantageous.


Required Skill Profession

Other General



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    Unlock Your Data Engineering Potential: Insight & Career Growth Guide


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