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Urgent! Senior Data Engineer Job Opening In Singapore, Singapore – Now Hiring Sourceo Pte Ltd

Senior Data Engineer



Job description

1.

JOB DESCRIPTION

Job Title

Senior Data Engineer

Occupation

ENGINEER

Job Description & Requirements

Job Description

Qualifications

  • Bachelor’s or Master’s in Computer Science, Software Engineering, Data Science, or equivalent experience
  • 4+ years in data engineering, analytics, or related AI/ML role
  • Proficient in Python for ETL/data engineering and Spark (PySpark) for large-scale pipelines
  • Experience with Big Data frameworks and SQL engines (Spark SQL, Redshift, PostgreSQL) for data marts and analytics
  • Hands‑on with Airflow (or equivalent) to orchestrate ETL workflows and GitLab CI/CD or Jenkins for pipeline automation
  • Familiar with relational (PostgreSQL, Redshift) and NoSQL (MongoDB) stores: data modeling, indexing, partitioning, and schema evolution
  • Proven ability to implement scalable storage solutions: tables, indexes, partitions, materialized views, columnar encodings
  • Skilled in query optimization: execution plans, sort/distribution keys, vacuum maintenance, and cost‑optimization strategies (cluster resizing, Spectrum)
  • Experience with cloud platforms (AWS): S3/EMR/Glue, Redshift and containerization (Docker, Kubernetes)
  • Infrastructure as Code using Terraform or CloudFormation for provisioning and drift detection
  • Knowledge of MLOps/LLMOps: auto‑scaling ML systems, model registry management, and CI/CD for model deployment
  • Strong problem‑solving, attention to detail, and the ability to collaborate with cross‑functional teams

Nice to Have

  • Exposure to serverless architectures (AWS Lambda) for event‑driven pipelines
  • Familiarity with vector databases, data mesh, or lakehouse architectures
  • Experience using BI/visualization tools (Tableau, QuickSight, Grafana) for data quality dashboards
  • Hands‑on with data quality frameworks (Deequ) or LLM‑based data applications (NL→SQL generation)
  • Participation in GenAI POCs (RAG pipelines, Agentic AI demos, geomobility analytics)
  • Client-facing or stakeholder‑management experience in data‑driven/AI projects

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Required Skill Profession

Database, Analytics & Bi



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