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Data Engineer - QuantumBlack Job Opening In Singapore, Singapore – Now Hiring QuantumBlack, AI by McKinsey


Job description

Data Engineer - QuantumBlack, AI by McKinsey

Who You'll Work With

Driving lasting impact and building long-term capabilities with our clients is not easy work.

You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

Your Impact

You will work on real-world, high-impact projects across a variety of industries.

You will have the opportunity to collaborate with QB/Labs teams and build complex and innovative ML systems to accelerate our work in AI and help solve business problems at speed and scale.

You will experience the best environment to grow as a technologist and a leader.

You will develop a sought-after perspective connecting technology and business value by working on real-life problems across a variety of industries and technical challenges to serve our clients on their changing needs.

You will be surrounded by inspiring individuals as part of diverse and multidisciplinary teams.

You will develop a holistic perspective of AI by partnering with the best design, technical, and business talent in the world as your team members.

While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more.

Responsibilities

  • Contribute to cross-functional problem-solving sessions with your team and our clients, from data owners and users to C-level executives, to address their needs and build impactful analytics solutions
  • Have the opportunity to contribute to R&D projects and internal asset development
  • Design and build GenAI applications (RAG, Agentic AI, etc) collaboratively with data scientists
  • Map data fields to hypotheses and curate, wrangle, and prepare data for use in advanced analytics models
  • Apply knowledge about clients data landscape and assess data quality
  • Create and manage data environments and ensure information security standards are maintained at all times
  • Design and build data pipelines for machine learning that are robust, modular, scalable, deployable, reproducible, and versioned
  • Help to build and maintain the technical platform for advanced analytics engagements, spanning data science and data engineering work
  • You will be part of our global Data Engineering community and you will work in cross-functional Agile project teams alongside Data Scientists, Machine Learning Engineers, other Data Engineers, Project Managers, and industry experts

Your Qualifications and Skills

  • Degree in computer science, engineering, mathematics, or equivalent experience
  • 2+ years of relevant professional experience
  • Ability to write clean, maintainable, scalable and robust code in an object-oriented language, e.g., Python, Scala, Java, in a professional setting
  • Proven experience building data pipelines in production for advanced analytics use cases
  • Experience working across structured, semi-structured and unstructured data
  • Exposure to software engineering concepts and best practices, inc.

    DevOps, DataOps and MLOps would be considered a plus
  • Familiarity with distributed computing frameworks, cloud platforms, containerization, and analytics libraries (e.g. pandas, numpy, matplotlib)
  • Experienced on Big Data platforms and tools like AWS, Azure, GCP and tools like Spark, Kafka, Snowflake, GCS Data Proc, Azure DataFactory, AWS Glue, Apache Beam/Flink, Python/PySpark, etc.

  • Commercial client-facing or senior stakeholder management experience would be beneficial

Seniority level

  • Associate

Employment type

  • Full-time

Job function

  • Analyst and Consulting

Industries

  • Business Consulting and Services

#J-18808-Ljbffr

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 Singapore, Singapore, highlighting market share and opportunities for professionals in Data Engineer roles.

33753 Jobs in Singapore
33753
28966 Jobs in Singapore
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Download Data Engineer Jobs Trends in Singapore and Singapore

Are You Looking for Data Engineer QuantumBlack Job?

Great news! is currently hiring and seeking a Data Engineer QuantumBlack 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 QuantumBlack, AI by McKinsey 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 QuantumBlack Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. 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 QuantumBlack?

Key qualifications for Data Engineer QuantumBlack 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 QuantumBlack?

To improve your chances of getting hired for Data Engineer QuantumBlack, 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 QuantumBlack Job Success

QuantumBlack, AI by McKinsey interview tips for Data Engineer   QuantumBlack

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

Before the Interview:

Research: Learn about the QuantumBlack, AI by McKinsey'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 QuantumBlack interview at QuantumBlack, AI by McKinsey, 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 QuantumBlack, AI by McKinsey'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!

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