Tech Job Finder - Find Software, Tech Sales and Product Manager Jobs.
Sign In
OR continue with e-mail and password
E-mail address
Password
Don't have an account?
Reset password
Join Tech Job Finder
OR continue with e-mail and password
Username
E-mail address
Password
Confirm Password
How did you hear about us?
By signing up, you agree to our Terms & Conditions and Privacy Policy.

Principal Data Engineer - QuantumBlack Studio

at McKinsey & Company

Back to all Data Engineering jobs
McKinsey & Company logo
Industry not specified

Principal Data Engineer - QuantumBlack Studio

at McKinsey & Company

Tech LeadNo visa sponsorshipData Engineering

Posted 20 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

**Principal Data Engineer** at QuantumBlack Studio. Design, build, and maintain big data ecosystems. Key responsibilities: Develop scalable data pipelines, optimize ETL processes, mentor junior engineers. Required skills: Proficient in Python, SQL, big data tools (Spark, Hadoop, Kafka), cloud platforms (AWS, GCP), data modeling, and ETL processes. Ideal candidate has 7+ years of hands-on data engineering experience, including at least 3 years in a senior role. Proven track record in driving complex data infrastructure projects.

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.

Principal Data Engineer - QuantumBlack Studio

at McKinsey & Company

Back to all Data Engineering jobs
McKinsey & Company logo
Industry not specified

Principal Data Engineer - QuantumBlack Studio

at McKinsey & Company

Tech LeadNo visa sponsorshipData Engineering

Posted 20 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

**Principal Data Engineer** at QuantumBlack Studio. Design, build, and maintain big data ecosystems. Key responsibilities: Develop scalable data pipelines, optimize ETL processes, mentor junior engineers. Required skills: Proficient in Python, SQL, big data tools (Spark, Hadoop, Kafka), cloud platforms (AWS, GCP), data modeling, and ETL processes. Ideal candidate has 7+ years of hands-on data engineering experience, including at least 3 years in a senior role. Proven track record in driving complex data infrastructure projects.

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.

SIMILAR OPPORTUNITIES

No similar jobs available at the moment.