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Data Engineer

Polaris IT Solutions Inc.WorkFromHome, Singapore, Singapore

13 days ago

Job description

Overview

Polaris IT Solutions Inc. is looking for its first dedicated data hire – a versatile professional who can own the entire data lifecycle. This hybrid role combines the technical foundation of a Data Engineer with the business-driven insights of a Data Analyst. You’ll build the data platform, define key metrics, and turn raw data into actionable insights that directly influence product, marketing, and strategic decisions.

Must-Have Skills

SQL
Python (for Data Pipelines & ETL / ELT)
Data Governance & Compliance

Responsibilities

Build and maintain end-to-end data pipelines and infrastructure.

Define, track, and report on critical business metrics and KPIs.

Develop dashboards and communicate insights across the organization.

Implement data governance, quality, and compliance standards.

3+ years in a data-focused role (Analyst, Engineer, or similar).

Proficiency in SQL and data modeling.

Hands-on experience with cloud platforms (AWS, GCP, or Azure).

Experience with BI tools (Tableau, Power BI, Looker, etc.).

Workflow orchestration (Airflow or similar).

Experience with data governance / catalog tools (dbt, Apache Atlas).

Knowledge of A / B testing and statistical methods.

Background in B2B SaaS or e-commerce.

Detailed Job Description

As a Data Engineer (The Builder) :

Build the Data Platform : Design, build, and maintain end-to-end ETL / ELT pipelines.

Architect the Infrastructure : Select and implement core data infrastructure (cloud data warehouse, data lake).

Ensure Data Integrity : Create robust data quality checks, monitoring, and governance standards.

Manage Data Sources : Connect and manage data from APIs, databases, and event logs.

As a Data Analyst (The Insight Generator) :

Drive Business Decisions : Perform deep-dive analyses to uncover trends and opportunities.

Define and Track Metrics : Partner with teams to define and monitor KPIs.

Create Dashboards & Reports : Build and maintain BI dashboards for company-wide accessibility.

Present Findings : Translate complex analyses into clear, actionable business recommendations.

As a Data Governance & Lineage Lead (The Guardian) :

Establish Data Governance : Define ownership, standards, and access policies.

Manage Data Lineage : Document and maintain data lineage for transparency and trust.

Ensure Compliance : Implement foundational data security and privacy protocols.

Must-Have Requirements

3+ years of professional experience in data-focused roles.

Strong SQL proficiency for analysis and modeling.

Solid Python skills for data pipeline development.

Hands-on experience with AWS, GCP, or Azure.

Familiarity with data warehousing concepts and tools.

Proficiency with BI tools such as Tableau, Power BI, or Looker.

Excellent communication skills for both technical and business audiences.

Nice-to-Have Requirements

Experience with Airflow or other orchestration tools.

Familiarity with dbt, Apache Atlas, or data governance tools.

Knowledge of A / B testing and statistical methods.

Background in B2B SaaS or e-commerce environments.

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Data Engineer • WorkFromHome, Singapore, Singapore

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