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Data Engineer Job Opening In WorkFromHome – Now Hiring Polaris IT Solutions Inc.


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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Required Skill Profession

Database, Analytics & Bi


  • Job Details

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Unlock Your Data Engineer Potential: Insight & Career Growth Guide


Real-time Data Engineer Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Engineer in WorkFromHome, Singapore, highlighting market share and opportunities for professionals in Data Engineer roles.

33753 Jobs in Singapore
33753
269 Jobs in Workfromhome
269
Download Data Engineer Jobs Trends in Workfromhome and Singapore

Are You Looking for Data Engineer Job?

Great news! is currently hiring and seeking a Data Engineer to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Polaris IT Solutions Inc. adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

What Is the Average Salary Range for Data Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in WorkFromHome. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Data Engineer?

Key qualifications for Data Engineer typically include Database, Analytics & Bi and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Data Engineer?

To improve your chances of getting hired for Data Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Data Engineer Job Success

Polaris IT Solutions Inc. interview tips for Data Engineer

Here are some tips to help you prepare for and ace your Data Engineer job interview:

Before the Interview:

Research: Learn about the Polaris IT Solutions Inc.'s mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data Engineer interview at Polaris IT Solutions Inc., research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Polaris IT Solutions Inc.'s products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

How to Set Up Job Alerts for Data Engineer Positions

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