Amazon Development Center U.S., Inc.
Technology
DataEngineerII,DBSBI
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer II, DBS BI at Amazon Development Center U.S., Inc.. Skills: Data Engineering, Business Intelligence, Machine Learning. Design, build, and maintain scalable data pipelines. Develop and optimize ETL/ELT processes”
Industry & Context.
Root cause analysis; Troubleshooting; Data-driven decision making
What They're Looking For.
Must Have
5+ years of experience, Bachelor's degree in Computer Science, Statistics, Mathematics, or related quantitative field, Proficiency in SQL, Experience with Python or Scala
Nice to Have
Master's degree or PhD preferred, Experience with cloud platforms (AWS, GCP, Azure), Experience with data warehousing solutions (Snowflake, BigQuery, Redshift), Experience with BI tools (Tableau, Power BI, Looker), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Experience with data pipeline orchestration tools (Airflow, Prefect), Experience with dbt
What You'll Do.
and maintain scalable data pipelines
Develop and optimize ETL/ELT processes
Build and manage data warehouses and data marts
Create and maintain BI dashboards and reports
Collaborate with data scientists to deploy ML models
Implement data quality and governance standards
Troubleshoot and resolve data-related issues
Optimize data infrastructure for performance and cost
Stay current with emerging data technologies
How You'll Work.
Team & Collaboration
Cross-functional teams; Data scientists; Analysts; Product managers; Business stakeholders
Full Job Description
AWS Databases, Analytics and AI/ML Products and Services is one of the largest and fast-growing business unit within AWS. We are working to rebuild and revolutionize data engineering and business intelligence systems within database, analytics and AI/ML organization to support fast growing business needs. We are looking for experienced, self-driven Data Engineer. In this role, you will be building complex data engineering and business intelligence applications using AWS big data stack. You should have deep expertise and passion in working with large data sets, data visualization, building complex data processes, performance tuning, bringing data from disparate data stores and programmatically identifying patterns. You should have excellent business acumen and communication skills to be able to work with business owners to develop and define key business questions and requirements. You will provide guidance and support for other engineers with industry best practices and direction. Amazon Web Services (AWS) has culture of data-driven decision-making, and demands timely, accurate, and actionable business insights. Key job responsibilities • Design, implement, and support data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift, QuickSight, Glue/lake formation, EMR/Spark/Scala, Athena etc. • Develop and manage ETLs to source data from various commercial, sales and operational systems and create unified data model for analytics and reporting. • Use business intelligence and visualization software (e.g., QuickSight.) to develop dashboards those are used by senior leadership. • Empower technical and non-technical, internal customers to drive their own analytics and reporting (self-serve reporting) and support ad-hoc reporting when needed. • Develop deep understanding of vast data sources and know exactly how, when, and which data to use to solve particular business problems. • Work with Product Managers, Finance, Service Engineering Teams and S
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