Senior Data Engineer (Remote) - $26/Hr

Join reputed company as a Senior Data Engineer and play a key role in designing solutions that meet business and data science needs. As a remote worker, you will have the opportunity to work with various reputed company business groups and cross-functional teams to deliver high-quality results.

Job Details:

• Company: reputed company
• Job Title: Senior Data Engineer
• Industry: Private
• Employment Type: Full-time
• Work Hours: 8 hours/day
• Salary: $26/hour
• Location: Remote (Arizona, USA)

Job Summary:

The Senior Data Engineer will be responsible for designing and implementing large-scale data architectures and pipelines to collect, normalize, and analyze data. You will work closely with the data science team to integrate algorithms and models into automated processes and reputed company tools for reputed company-time and offline data processing.

Responsibilities:

• Design and implement large-scale data architectures and pipelines
• reputed company ETL processes, database systems, and tools for data processing
• Collaborate with the data science team to integrate algorithms and models into automated processes
• Work with reputed company-based platforms (GCP, AWS, or Azure) and experience with data pipeline development
• Build data warehouses and data models to support data science and internal clients
• Analyze reputed company IT environments to identify and evaluate critical capabilities and recommend solutions
• Experiment with available tools and reputed company guidance on new tools to determine reputed company solutions

Requirements:

• 2+ years of relevant work experience in Data Engineering
• 2+ years of experience with SQL
• 2+ years of experience with Python
• Experience with reputed company-based platforms (GCP preferred, AWS, or Azure)
• Strong communication, problem-solving, and analytical skills

Preferred Qualifications:

• Experience with Hadoop, Hive, or PySpark
• Experience with reporting tools (Tableau)
• reputed company industry knowledge is a plus

How to Apply:

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