Information Technology Analyst - Data Solutions Expert at Amazon: Join Our Team as a Full-Time Data Entry Specialist in Austin, TX, Earning $26/Hour
About Amazon and Our Culture
At Amazon, we're driven by a passion to be the world's most customer-centric organization, where people can find and purchase anything they need online. Our IT Services team is comprised of talented individuals from around the world, working together to create innovative solutions that enhance the customer experience. As a leader in the tech industry, we're committed to fostering a culture of innovation, collaboration, and continuous learning.
Job Summary
We're seeking a highly skilled and motivated Information Technology Analyst - Data Solutions Expert to join our Corporate Framework Services (CIS) team in Austin, TX. As a critical team member, you'll have the opportunity to design, develop, and deploy cutting-edge data solutions that drive business success. Your expertise will enable us to harness the power of data, empowering our clients and driving growth.
Key Responsibilities
Lead the design and development of data solutions, ensuring they meet business requirements and are aligned with company goals.
Design, build, and deploy scalable and efficient data solutions, including data pipelines, ETL processes, and reporting systems.
Ensure the quality, reliability, and security of data solutions through rigorous testing, monitoring, and optimization.
Collaborate with cross-functional teams to integrate data from various sources, including CSV, Excel, Email attachments, SmartSheet, and more.
Work closely with business stakeholders, technical teams, and operations groups to handle business requirements and deliver high-quality solutions.
Develop and maintain software applications to extend system, application, or tool functionality, improving business processes and meeting customer needs.
Analyze and resolve operational issues, performing root cause analysis and providing recommendations for improvement.
Document data engineering processes, workflows, and best practices to ensure knowledge sharing and maintain a robust data repository.
Essential Qualifications
Bachelor's Degree and Relevant Experience
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
Experience in data engineering, with a focus on designing, building, and maintaining large-scale data systems.
Technical Skills
Proficiency in AWS services, including AWS Glue, AuroraDB (MySQL) - RDS, Amazon Workmail, Amazon SES, S3, Lambda, Redshift, SQS, IAM (Users, Groups, Roles, and Permissions), VPC, and infrastructure configuration.
Experience with data modeling, data warehousing, and ETL pipeline development.
Strong SQL skills, with experience in writing and optimizing SQL queries.
Familiarity with open-source data technologies, such as Hadoop, Hive, Hbase, Pig, Spark, and others.
2+ years of development experience in Python, Ruby, Scala, or other platforms related to big data technology.
Knowledge of professional programming practices and best practices for the full software development lifecycle.
Preferred Qualifications
Additional Technical Skills
Experience with SmartSheet, Asana, HoneyCode, or Powerapp.
Familiarity with JavaScript and React JS.
Industry experience as a Data Engineer or related specialist, with a proven track record of driving value from large datasets.
Experience building data products iteratively and integrating and managing datasets from multiple sources.
Query performance tuning skills using Unix profiling tools and SQL.
Experience leading large-scale data warehousing and analytics projects, including utilizing AWS technologies.
Career Growth Opportunities and Learning Benefits
At Amazon, we're committed to helping our employees grow and develop their skills. You'll have access to:
Comprehensive training programs and workshops.
Opportunities for career advancement and professional growth.
A dynamic and supportive work environment that encourages innovation and collaboration.
Competitive compensation and benefits package.
Work Environment and Company Culture
Our Austin, TX office is a vibrant and dynamic workspace that fosters creativity, collaboration, and innovation. You'll be part of a team that values:
Diversity, equity, and inclusion.
Customer obsession.
Ownership and accountability.
Inventiveness and experimentation.
High-quality work and continuous improvement.
Compensation, Perks, and Benefits
We offer a comprehensive compensation package, including:
$26/hour salary.
Full-time employment with regular working hours.
Opportunities for bonuses and stock options.
Comprehensive health insurance and benefits.
Paid time off and holidays.
Conclusion
If you're a motivated and talented Information Technology professional looking for a new challenge, we encourage you to apply for this exciting opportunity. As a Data Solutions Expert at Amazon, you'll have the chance to work on cutting-edge projects, collaborate with a talented team, and drive business success. Don't miss this chance to join our team and take your career to the next level!
Apply now and be part of the Amazon team!
Apply Now
At Amazon, we're driven by a passion to be the world's most customer-centric organization, where people can find and purchase anything they need online. Our IT Services team is comprised of talented individuals from around the world, working together to create innovative solutions that enhance the customer experience. As a leader in the tech industry, we're committed to fostering a culture of innovation, collaboration, and continuous learning.
Job Summary
We're seeking a highly skilled and motivated Information Technology Analyst - Data Solutions Expert to join our Corporate Framework Services (CIS) team in Austin, TX. As a critical team member, you'll have the opportunity to design, develop, and deploy cutting-edge data solutions that drive business success. Your expertise will enable us to harness the power of data, empowering our clients and driving growth.
Key Responsibilities
Lead the design and development of data solutions, ensuring they meet business requirements and are aligned with company goals.
Design, build, and deploy scalable and efficient data solutions, including data pipelines, ETL processes, and reporting systems.
Ensure the quality, reliability, and security of data solutions through rigorous testing, monitoring, and optimization.
Collaborate with cross-functional teams to integrate data from various sources, including CSV, Excel, Email attachments, SmartSheet, and more.
Work closely with business stakeholders, technical teams, and operations groups to handle business requirements and deliver high-quality solutions.
Develop and maintain software applications to extend system, application, or tool functionality, improving business processes and meeting customer needs.
Analyze and resolve operational issues, performing root cause analysis and providing recommendations for improvement.
Document data engineering processes, workflows, and best practices to ensure knowledge sharing and maintain a robust data repository.
Essential Qualifications
Bachelor's Degree and Relevant Experience
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
Experience in data engineering, with a focus on designing, building, and maintaining large-scale data systems.
Technical Skills
Proficiency in AWS services, including AWS Glue, AuroraDB (MySQL) - RDS, Amazon Workmail, Amazon SES, S3, Lambda, Redshift, SQS, IAM (Users, Groups, Roles, and Permissions), VPC, and infrastructure configuration.
Experience with data modeling, data warehousing, and ETL pipeline development.
Strong SQL skills, with experience in writing and optimizing SQL queries.
Familiarity with open-source data technologies, such as Hadoop, Hive, Hbase, Pig, Spark, and others.
2+ years of development experience in Python, Ruby, Scala, or other platforms related to big data technology.
Knowledge of professional programming practices and best practices for the full software development lifecycle.
Preferred Qualifications
Additional Technical Skills
Experience with SmartSheet, Asana, HoneyCode, or Powerapp.
Familiarity with JavaScript and React JS.
Industry experience as a Data Engineer or related specialist, with a proven track record of driving value from large datasets.
Experience building data products iteratively and integrating and managing datasets from multiple sources.
Query performance tuning skills using Unix profiling tools and SQL.
Experience leading large-scale data warehousing and analytics projects, including utilizing AWS technologies.
Career Growth Opportunities and Learning Benefits
At Amazon, we're committed to helping our employees grow and develop their skills. You'll have access to:
Comprehensive training programs and workshops.
Opportunities for career advancement and professional growth.
A dynamic and supportive work environment that encourages innovation and collaboration.
Competitive compensation and benefits package.
Work Environment and Company Culture
Our Austin, TX office is a vibrant and dynamic workspace that fosters creativity, collaboration, and innovation. You'll be part of a team that values:
Diversity, equity, and inclusion.
Customer obsession.
Ownership and accountability.
Inventiveness and experimentation.
High-quality work and continuous improvement.
Compensation, Perks, and Benefits
We offer a comprehensive compensation package, including:
$26/hour salary.
Full-time employment with regular working hours.
Opportunities for bonuses and stock options.
Comprehensive health insurance and benefits.
Paid time off and holidays.
Conclusion
If you're a motivated and talented Information Technology professional looking for a new challenge, we encourage you to apply for this exciting opportunity. As a Data Solutions Expert at Amazon, you'll have the chance to work on cutting-edge projects, collaborate with a talented team, and drive business success. Don't miss this chance to join our team and take your career to the next level!
Apply now and be part of the Amazon team!
Apply Now