AWS DATA SOLUTIONS LEAD @ IT VISION GROUP
IT Vision Group is seeking a dedicated AWS Data Solutions Lead to join our innovative team in Seattle, WA. The successful candidate will be responsible for designing, implementing, and maintaining scalable data solutions on Amazon Web Services (AWS). You will leverage various AWS services to build and optimize critical data pipelines, data lakes, and ETL processes, ensuring that our data-driven applications operate at peak efficiency. This role is a W2 position for a duration of 12.0 months with an onsite work arrangement. The compensation for this role is $50/hr on a W2 basis with no benefits included.
You will work closely with data scientists, analysts, and key stakeholders to ensure the availability, reliability, and security of our data assets for our data-driven applications. We are looking for a professional who can lead technical initiatives and provide strategic direction for our cloud-based data infrastructure. If you have a strong background in data engineering and are passionate about cloud innovation, we encourage you to apply for this exciting opportunity to grow your career with a forward-thinking organization.
You will work closely with data scientists, analysts, and key stakeholders to ensure the availability, reliability, and security of our data assets for our data-driven applications. We are looking for a professional who can lead technical initiatives and provide strategic direction for our cloud-based data infrastructure. If you have a strong background in data engineering and are passionate about cloud innovation, we encourage you to apply for this exciting opportunity to grow your career with a forward-thinking organization.
Key Requirements
Proven experience in data engineering and cloud-based solutions
Expertise in designing, implementing, and maintaining scalable AWS data solutions
Advanced proficiency in leveraging AWS services for optimization
Hands-on experience building and optimizing data pipelines and data lakes
Strong understanding of ETL processes and implementation
Ability to collaborate effectively with data scientists and analysts
Strong focus on ensuring data availability, reliability, and security
Excellent problem-solving skills and analytical thinking
Proficiency in SQL and scripting languages such as Python
Knowledge of cloud infrastructure best practices and data governance