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Urgent! Data Engineer Job Opening In singapore sg – Now Hiring Helius



Job description

Job Description

Our company is currently in search of a highly skilled and committed Data Engineer to take a leading role in advancing our data infrastructure and analytics capabilities.

As a Data Engineer, you will be instrumental in the process of turning raw data into valuable insights to drive informed decision-making.

Key Responsibilities:

  • Collaborate closely with cross-functional teams, including Product, Backend Engineering, and Marketing, to comprehend data requirements and objectives.

  • Design, develop, and maintain data pipelines and ETL (Extract, Transform, Load) processes that facilitate the extraction, transformation, and loading of data from various sources into our data warehouses and systems.

  • Optimize data structures and storage to ensure efficient data retrieval and support robust analytics, all while maintaining data quality and reliability.

  • Implement best practices for data security and privacy to ensure compliance with relevant data protection regulations.

  • Explore and integrate new technologies and frameworks to enhance data processing and analysis capabilities.



  • Our Requirements

    To be considered for this role, candidates should meet the following qualifications:

  • Possess a Bachelor's degree in Computer Science, Data Engineering, or a related field, along with a strong academic background.

  • Bring at least 4 years of experience as a Data Engineer, with a strong emphasis on data integration, ETL processes, and database management.

  • Demonstrate proficiency in key tools and technologies such as Python, Airflow, PostGreSQL, and Clickhouse.

  • Knowledge of building machine learning models is considered an advantage.



  • Benefits And Opportunities



    Candidates will have access to unparalleled learning opportunities and a fast-paced, high-growth startup environment that fosters accelerated career development.

    As a team member, you will benefit from:
  • A negotiable salary based on your prior experience.

  • The chance to develop core competencies in technology and computer science.

  • Engagement in high-impact projects that push the technological boundaries of our company.

  • Collaboration with a world-class team comprised of individuals with backgrounds from prominent organizations like Goldman Sachs, McKinsey, Harvard Business School, University of Pennsylvania, University of St. Gallen, and more.

  • An appealing employee stock option package.

  • A rapid career progression path in what is arguably one of the most exciting property technology startups in Southeast Asia.

  • Required Skill Profession

    Computer Occupations



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      Unlock Your Data Engineer Potential: Insight & Career Growth Guide


    • Real-time Data Engineer Jobs Trends in singapore, sg, Singapore (Graphical Representation)

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    • 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.

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    • 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 Helius adheres to the cultural norms as outlined by Expertini.

      The fundamental ethical values are:
      • 1. Independence
      • 2. Loyalty
      • 3. Impartiality
      • 4. Integrity
      • 5. Accountability
      • 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 singapore sg. 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.

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    • Interview Tips for Data Engineer Job Success
      Helius interview tips for Data Engineer

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

      Before the Interview:
      • Research: Learn about the Helius'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.
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      • 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 Helius, 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 Helius's products or services and be prepared to discuss how you can contribute to their success.

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