jobs in CMC-APAC PRIVATE LIMITED

全职 Data Analytics Developer 工作, 薪水 up to SGD 7,500, CMC-APAC PRIVATE LIMITED 公司招聘中 - Ricebowl

Data Analytics Developer

CMC-APAC PRIVATE LIMITED

SGD5,500 - SGD7,500 每月

Singapore

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工作地点

  • Singapore

职位描述

岗位职责

Overview

Build the data pipelines, models, and dashboards that turn raw market and operational data into actionable insight.

Key Responsibilities

  • Design and implement secure, performant data pipelines to aggregate, cleanse, and transform data from internal and third-party sources.
  • Build and maintain analytics data models and data Mart supporting reporting, dashboards, and downstream consumers.
  • Develop interactive dashboards and visualisations that surface trends, investment patterns, and company-level insight.
  • Implement data quality controls, validation routines, and lineage tracking to meet regulatory-grade reliability standards.
  • Integrate with market data provider APIs for ingestion, reconciliation, and profile enrichment.
  • Optimise query performance and storage across relational, columnar, and analytical workloads.
  • Partner with business analysts and stakeholders to translate analytical questions into reusable datasets.
  • Document data contracts, ETL flows, and operational runbooks.

Key Requirements (Must-Have)

  • 5+ years of hands-on data engineering /analytics development experience.
  • Strong SQL across at least one of PostgreSQL, SQL Server , Oracle , or Snowflake .
  • Proficiency in Python (pandas, PySpark, SQLAlchemy) for data transformation and automation.
  • Experience building ETL / ELT pipelines using Airflow , dbt , Informatica , or equivalent.
  • Proven delivery on Tableau , Power BI , or Qlik — including parameterised dashboards and row-level security.
  • Dimensional / star schema modelling experience and comfort with slowly changing dimensions .
  • Experience with REST API integration for data ingestion.
  • Version control ( Git ) and CI/CD for analytics code.
  • Able to work Singapore-based , on-site at client premises a minimum of three (3) days per week.
  • Eligible to undergo and pass security clearance /background screening for financial sector engagements.

Nice-to-Have

  • Familiarity with market data platforms (e.g.,PitchBook, Tracxn, Bloomberg, Refinitiv) and financial data schemas.
  • Experience with cloud data warehouses ( BigQuery , Redshift , Synapse ).
  • Exposure to streaming data (Kafka, Kinesis) and CDC tooling.
  • Working knowledge of machine learning pipelines or basic predictive analytics.
  • Tableau Desktop Specialist , Azure Data Engineer , or AWS Data Analytics certifications.
  • Bachelor's degree in Computer Science, Data Science, Statistics, or a related quantitative discipline.

重要安全守则

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