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Urgent! Data Engineer - QuantumBlack Job Opening In Singapore, Singapore – Now Hiring QuantumBlack, AI by McKinsey
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
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Unlock Your Data Engineer Potential: Insight & Career Growth Guide
Real-time Data Engineer Jobs Trends in Singapore, Singapore (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Engineer in Singapore, Singapore using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 34808 jobs in Singapore and 30062 jobs in Singapore. This comprehensive analysis highlights market share and opportunities for professionals in Data Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! QuantumBlack, AI by McKinsey is currently hiring and seeking a Data Engineer QuantumBlack to join their team. Feel free to download the job details.
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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:The average salary range for a Data Engineer QuantumBlack Jobs Singapore 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.
Key qualifications for Data Engineer QuantumBlack typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview: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.
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