Data Engineer, AWS GDSP A&I

Key job responsibilities

• Design, develop, and maintain scalable data solutions for metrics, reports, analyses, and dashboards that support analytical and business needs
• Collaborate with technology teams to extract, transform, and load data from diverse sources using AWS services and internal tools
• Build and deliver high-quality datasets that support data science initiatives and customer reporting requirements
• Automate and optimize reporting processes to enable self-service analytics for stakeholders
• Translate business problem statements into technical analysis requirements
• Apply analytical and statistical rigor to answer business questions and drive data-driven decisions
• Create measurement frameworks that quantify customer experience and drive business outcomes
• Create queries and visualizations for ad-hoc requests, projects, and ongoing reporting needs
• Write efficient, optimized queries with deep knowledge of data structures and query optimization techniques
• Adeptly adopt best practices in reporting and analysis including data integrity, design, validation, and documentation
• Troubleshoot operational data quality issues and audit existing data pipelines and queries
• Recommend improvements to back-end data sources for increased accuracy and simplicity

Basic Qualifications

• 3+ years of data engineering experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience
• Experience with data modeling, warehousing and building ETL pipelines

Preferred Qualifications

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)