Data Insights Engineer

1 day ago

Chennai, Tamil Nadu, India myGwork Full time

Company Overview

Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators.

We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Music Unlimited for unlimited on-demand access to 100 million songs including millions in HD, Ultra HD, spatial audio and anyone can listen for free by downloading Amazon Music app or via Alexa-enabled devices.

Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale.

About the Job

We are seeking a talented Business Intelligence Engineer to join our team at DISCO CAST. The ideal candidate will have experience in big data design and analysis, data modeling, and development, deployment, and operations of big data pipelines.

You will help build Amazon Music's most important data pipelines and data sets, and expand self-service data knowledge and capabilities through an Amazon Music data university.

The DISCO team develops data specifically for a set of key business domains like personalization and marketing and provides and protects a robust self-service core data experience for all internal customers.

We deal in AWS technologies like Redshift, S3, EMR, EC2, DynamoDB, Kinesis Firehose, and Lambda. Your team will manage the data exchange store (Data Lake) and EMR/Spark processing layer using Airflow as orchestrator.

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 latest data is available, address any technical issues in dashboard refresh (fixing failed jobs, re-running jobs/pipelines, tracking upstream dependencies), coordinate to resolve technical issues, inform Stakeholders in case of any unavoidable delays, enhancing existing dashboards based on low-level specifications.
  • 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.
  • Avoid content that does not suit a job description, such as emails, phone numbers, social media usernames, addresses, dates, or any reference to a particular physical place.

Requirements

  • 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, finance or equivalent quantitative field.
  • Knowledge of AWS products such as Redshift, Quicksight, and Lambda.
  • Excellent verbal/written communication & data presentation skills, including ability to succinctly summarize key findings and effectively communicate with both business and technical teams.

Estimated Salary

$120,000 - $180,000 per year.

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