Data Engineer Manager Buyer Fraud

Description

Do you excel in dynamic, fast-paced environments and find joy in converting data into actionable insights? Are you adept at implementing data governance practices, defining data access and quality standards and using AI to modernize analytics platforms? Do you enjoy leading engineers to innovate at speed to deliver scalable analytics solutions? If so, then the Amazon Risk and Compliance Solutions (RCS) Org has an exciting opportunity for you.

As a Data Engineering Manager, you will be responsible for modernizing one of Amazon’s largest data warehouses serving business intelligence, AI and product management customers globally. Your role will involve designing, implementing, and supporting scalable solutions for data management, data pipeline orchestration, ETL, data modelling and data visualization with the best tools available in AWS – including Redshift, Glue, S3, IAM, Cloudwatch, and SageMaker studio. You should have excellent business and communication skills to collaborate with business partners, product teams, engineering teams and technical leaders to gather requirements, design data infrastructure, and build data pipelines and datasets to meet business needs.

Key job responsibilities

• Own technical delivery and team leadership for development and maintenance of scalable ETL pipelines, semantic layers, and dashboard data models.
• Collaborate with Program Managers, BI teams, and stakeholders to prioritize work aligned with business goals.
• Establish best practices for data engineering, including code reviews, testing, monitoring, and documentation.
• Drive team growth through mentoring, coaching, and career development.
• Adopt and drive the GenAI platform, data governance, schema standardization, and data contracts where applicable.
  
  

Basic Qualifications

• 5+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with SQL
• Experience managing a data or BI team
• Experience leading and influencing the data or BI strategy of your team or organization
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
• Experience hiring, developing and promoting engineering talent
  
  

Preferred Qualifications

• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
• Experience with AWS Tools and Technologies (Redshift, S3, EC2)
• Knowledge of software development life cycle or agile development environment with emphasis on BI practices
  
  

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.


Company - ADCI - Karnataka

Job ID: A3128960

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