Senior AWS Big Data Engineer

Compunnel

$130K — $155K *
Enterprise Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 12+ years of experience in data engineering or big data roles.
  • Expertise in Python for data processing.
  • Proficient in SQL for database management and queries.
  • Hands-on experience with AWS cloud services.
  • Proven track record of building and maintaining ETL pipelines.
  • Experience in developing analytics solutions through data analysis.
  • Background in designing technical architecture for analytics platforms.

Responsibilities

  • Build and maintain ETL pipelines for data integration.
  • Perform data analysis for enterprise analytics initiatives.
  • Enhance technical architecture for analytics and data solutions.
  • Design scalable data engineering solutions using AWS.
  • Optimize data processing workflows with Python and SQL.
  • Collaborate with stakeholders to grasp requirements.
  • Troubleshoot and optimize data pipelines for performance.

Benefits

  • Comprehensive health insurance options.
  • Retirement savings plan with matching contributions.
  • Flexible working hours and remote work flexibility.
  • Professional development opportunities and training.
  • Generous paid time off and holiday schedule.
Full Job Description
Job Summary
We are seeking a Senior AWS Big Data Engineer with 12+ years of experience in data engineering, ETL development, data analysis, and technical architecture for analytics solutions. The ideal candidate will have strong expertise in Python, SQL, and AWS services, with experience building and maintaining scalable data solutions.

Key Responsibilities
• Build and maintain ETL pipelines to support data integration and analytics requirements.
• Perform data analysis and develop solutions to support enterprise analytics initiatives.
• Reimagine and enhance technical architecture for analytics platforms and data solutions.
• Design and implement scalable data engineering solutions using AWS services.
• Develop and optimize data processing workflows using Python and SQL.
• Collaborate with technical and business stakeholders to understand requirements and deliver effective data solutions.
• Troubleshoot and optimize data pipelines and analytics workloads to ensure reliability and performance.

Required Qualifications
• 12+ years of professional experience in data engineering, big data, or related technology roles.
• Strong hands-on experience with Python.
• Strong proficiency in SQL.
• Strong experience working with AWS services.
• Experience building and maintaining ETL pipelines.
• Experience with data analysis and analytics solutions.
• Experience designing or reimagining technical architecture for analytics platforms.

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