Kerja Sepenuh Masa Data Analytics Developer, Gaji tinggi SGD 7,500 di CMC-APAC PRIVATE LIMITED - Maukerja

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.