Data Engineer Needed at Luxe Vision Consulting
Budget: $1,500 – $3,000 USD
We're Hiring: Data Engineer – Join Luxe Vision Consulting!
Are you a skilled Data Engineer looking to work with top US companies? Luxe Vision Consulting is seeking a talented Data Engineer to design, build, and optimize scalable data pipelines for our clients.
? Position: Data Engineer
? Location: Remote
? Salary Range: $2,500 - $3,000/month (negotiable based on experience)
? Work Hours: Flexible (aligned with US client time zones)
https://lnkd.in/gen5yVAH
Key Responsibilities:
Develop and maintain data pipelines using PySpark, Pandas, and SQL
Optimize ETL workflows for efficient data processing
Collaborate with cross-functional teams to support analytical and machine learning projects
Manage cloud-based infrastructure (AWS, GCP, or Azure)
Required Skills & Experience:
1+ years of experience in Data Engineering or a related field
Strong proficiency in Python (PySpark, Pandas) and SQL
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with big data technologies (Apache Spark, Hadoop, Kafka) is a plus
Are you a skilled Data Engineer looking to work with top US companies? Luxe Vision Consulting is seeking a talented Data Engineer to design, build, and optimize scalable data pipelines for our clients.
? Position: Data Engineer
? Location: Remote
? Salary Range: $2,500 - $3,000/month (negotiable based on experience)
? Work Hours: Flexible (aligned with US client time zones)
https://lnkd.in/gen5yVAH
Key Responsibilities:
Develop and maintain data pipelines using PySpark, Pandas, and SQL
Optimize ETL workflows for efficient data processing
Collaborate with cross-functional teams to support analytical and machine learning projects
Manage cloud-based infrastructure (AWS, GCP, or Azure)
Required Skills & Experience:
1+ years of experience in Data Engineering or a related field
Strong proficiency in Python (PySpark, Pandas) and SQL
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with big data technologies (Apache Spark, Hadoop, Kafka) is a plus