IT Application Analyst

Join Amazon's IT Applications team in Austin, USA, as an IT Application Analyst! We're seeking a talented and driven individual to play a key role in planning, executing, and delivering critical data solutions. In this role, you'll leverage your technical expertise and leadership skills to help Amazon become an even more data-driven organization, empowering customers and driving business success.

Key Responsibilities:

• Lead the technical work of various specialists on projects.
• Design, develop, and deliver scalable and efficient data solutions.
• Ensure the quality, reliability, and security of data solutions through rigorous testing, monitoring, and improvement.
• Develop and deliver high-quality data designs and pipelines to support business reporting needs.
• Monitor data pipelines and proactively identify and resolve performance or quality issues.
• Ensure data quality and integrity through data validation, error handling, and data cleansing strategies.
• Collaborate with diverse teams to extract, transform, and load data from various sources (CSV, Excel, email connections, SmartSheet, etc.).
• Partner with business clients, technical teams, and operations to define business requirements and deliver against high operational standards.
• Develop and enhance software to improve business processes and meet customer needs within the overall system architecture.
• Analyze and resolve operational issues, perform root cause analysis, and propose improvement ideas.
• Document data design processes, workflows, and best practices to ensure knowledge sharing and maintain a robust knowledge base.

Basic Qualifications:

• Bachelor's degree in Software Engineering, Computer Science, Mathematics, or a related discipline.
• Experience providing oversight to data engineering projects.
• Demonstrated experience building, developing, maintaining, and enhancing scalable data systems, including data modeling, data warehousing, and ETL pipelines with reporting solutions.
• Extensive AWS experience, including hands-on experience with AWS services like Glue, AuroraDB (MySQL) - RDS, Amazon WorkMail, Amazon SES, S3, Lambda, Redshift, SQS, IAM, VPC, and infrastructure deployment.
• Experience working with current data structures and Lambda-type models.
• Proficiency in SQL, including writing and upgrading.
• Familiarity with Open Source Data Technologies (Hadoop, Hive, HBase, Pig, Flash, etc.).
• 2+ years of development experience in Python, Ruby, Scala, or other big data technologies.
• Knowledge of software development best practices, including coding principles, code reviews, source control, build processes, testing, and operations.
• Experience building reporting systems like QuickSight, PowerBI, or others.
• Knowledge and experience building data warehouse reporting systems for Business Intelligence (any technology).
• Experience with responsive design and UI development for data entry systems (writeback reporting systems).

Preferred Qualifications:

• Experience with SmartSheet, Asana, HoneyCode, or PowerApps.
• Javascript and/or Responsive JS development experience.
• Experience as a Data Engineer or related role with a proven track record of extracting, transforming, and analyzing large datasets.
• Experience building data products and integrating and managing data from various sources.
• Query execution tuning skills using Unix profiling tools and SQL.
• Experience leading large-scale data warehousing and analytics projects, utilizing AWS innovations like Redshift, S3, EC2, data pipelines, and other big data technologies.
• Experience with non-relational databases/data stores (object storage, document or key-value stores, graph databases, columnar family databases).

About Amazon & Benefits:

Amazon is a global technology and e-commerce company committed to innovation and customer satisfaction. We offer a comprehensive benefits package, including:

• Comprehensive health insurance (medical, dental, vision).
• 401(k) plan with company match.
• Stock options and grants.
• Paid vacation, sick leave, and other paid time off.
• Employee discounts on Amazon products and services.
• Tuition assistance for higher education.
• Career advancement opportunities.
• Parental leave benefits.
• Wellness programs and resources.
• Flexible work options.
• Employee Assistance Program (EAP).

Ready to make a difference? Apply now!