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Senior Data Engineer - SOURCEO PTE. LTD.

Senior Data Engineer - SOURCEO PTE. LTD.

SOURCEO PTE. LTD.D14 Geylang, Eunos, SG
2 days ago
Job description

Roles & Responsibilities

1. JOB DESCRIPTION

Job Title

Senior Data Engineer

Occupation

ENGINEER

Job Description & Requirements

Job Description

Key Responsibilities :

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

    • Tell employers what skills you have

    Tableau

    PySpark

    MongoDB

    PostgreSQL

    Big Data

    Data Modeling

    Pipelines

    Software Engineering

    ETL

    Data Quality

    Data Engineering

    SQL

    Python

    Docker

    Data Science

    Databases

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    Senior Data Engineer • D14 Geylang, Eunos, SG