.Amazon Music is awash in data!
To help make sense of it all, the DISCO (Data, Insights, Science & Optimization) team enables the Consumer Product Tech org to make data-driven decisions that improve customer retention, engagement, and experience on Amazon Music.
We build and maintain automated self-service data solutions, data science models, and deep dive difficult questions that provide actionable insights.
Our goal is to empower all teams at Amazon Music to make data-driven decisions and effectively measure their results by providing high-quality, high-availability data, and democratized data access through self-service tools.
If you love the challenges that come with big data, then this role is for you.
We collect billions of events a day, manage petabyte-scale data on Redshift and S3, and develop data pipelines using Spark/Scala EMR, SQL based ETL, Airflow, and Java services.
We are looking for a talented, enthusiastic, and detail-oriented Business Intelligence Engineer, who knows how to take on big data challenges in an agile way.
Duties include big data design and analysis, data modeling, and the development, deployment, and operations of big data pipelines.
Key job responsibilities Design, development, and ongoing operations of scalable, performant data warehouse (Redshift) tables, data pipelines, reports, dashboards, and data transformation strategies to manage a large volume of data.
Development of moderately to highly complex data processing jobs using appropriate technologies (e.G., SQL, Python, Spark, AWS Lambda, etc.)
Development of dashboards and reports.
Collaborate with internal stakeholders to understand business requirements and provide data-driven solutions.
Develop complex SQL queries and optimize performance of SQL queries on large data.
Build and manage dashboards, scorecards, and other data visualization using BI tools such as Tableau, Power BI, or AWS Quicksight.
Monitor Tableau and QS dashboards to ensure the latest data is available and address any technical issues in dashboard refresh.
Conduct thorough data analysis and troubleshoot data integrity issues, providing gap analysis and business solutions.
Actively manage the timeline and deliverables of projects, anticipate risks, and resolve issues.
Adopt Business Intelligence best practices in reporting and analysis.
BASIC QUALIFICATIONS - 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with scripting language (e.G., Python, Java, or R)- Knowledge of data modeling and data pipeline design- Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, or equivalent quantitative field- Knowledge of AWS products such as Redshift, Quicksight, and Lambda