Senior Data Engineer

Trinity Consulting Services • Cybersecurity • Information Technology • Python • SQL • ETL/ELT • 22 days ago
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Salary
$84k – $112k per year (gross)
Location
In office (Singapore)
Seniority
Senior · 8+ years exp
Employment
Full-Time

First seen by Alion on Sep 21, 2026.

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Trinity Consulting Services

Trinity Consulting Services is a privately owned IT consulting, services and recruitment company headquartered in Singapore that delivers digital transformation, managed application, cloud, SAP, infrastructure, cybersecurity and data analytics services. Alongside its technology work, it provides executive and retained search, contract staffing, recruitment process outsourcing and payroll services, placing IT professionals on client projects including Singapore public sector and wealth management engagements. Its current openings include solution architects, Java and Spark developers, AWS cloud and data engineers, computer vision engineers, database administrators and testers.
trinityconsulting.asia • HQ: Singapore • IT Staffing & Staff Augmentation • IT Consulting & Digital Transformation

·        Bachelor's degree in Computer Science, IT, Engineering, or a related field with a demonstrated continuous learning ethos.

·        Must have a minimum of 8+ years IT experience with at least  5+ years hands-on data engineering or datapipeline development

·        Expert-level SQL proficiency with strong expertise in SQL Server, including queryoptimization, indexing, and performance tuning

· Advanced Python programming skills for data processing, automation, and production-grade pipeline development

·        Kubernetes expertise – Design, deploy, andmanage containerized data pipelines in on-premise environments

·        Strong data modellingexpertise– Both relational and non-relational concepts

·        Proven experience with flexible lakehouse/data lake architecture – Multi-layer datalakes, partitioning strategies, and metadata management, Iceberg tables, and optimization

·        CI/CD and DevOps practices– Setting up CI/CD pipelines, Git, automated testing, andinfrastructure-as-code tools

·        ETL/ELT orchestration experience—Apache Airflow or similar tools for scheduling and monitoring batch and real-time jobs

· Hands-on experience with at least one NoSQL database (MongoDB, Cassandra, etc.)

· Hands-on experience with Apache Spark and PySpark for distributed data processing andperformance optimization

·        Data security andgovernance– Role-based access control, data masking, and compliance frameworks

· Proven ability to work autonomously on complex projects while maintaining high codequality standards

· Excellent problem-solving, communication, and cross-functional collaboration skills

Skills

PySpark, Apache Spark, Kubernetes, Azure DevOps, ETL, NoSQL, SQL, Python, CI/CD, Data Masking

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