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Data Engineer Manager, Buyer Fraud

Data Engineer Manager, Buyer Fraud

Amazon

5 - 10 years

7 - 12 Lacs

bengaluru

Posted:1 week ago| Platform:

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Skills Required

product management rcs data management data modeling schema business intelligence analytics monitoring sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Do you excel in dynamic, fast-paced environments and find joy in converting data into actionable insightsAre you adept at implementing data goverce practices, defining data access and quality standards and using AI to modernize analytics platformsDo you enjoy leading engineers to innovate at speed to deliver scalable analytics solutionsIf 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. Own technical delivery and team leadership for development and maintece 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 goverce, schema standardization, and data contracts where applicable. 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 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

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Data Engineer Manager, Buyer Fraud