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Urgent! Data Engineering Manager, WW FBA Central Analytics Job Opening In India, India – Now Hiring Amazon
This job is with Amazon, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community.
Please do not contact the recruiter directly.
DESCRIPTION:
Worldwide Fulfillment by Amazon (WW FBA) empowers millions of sellers to scale globally through Amazon's leading fulfillment network.
FBA sellers deliver fast, reliable Prime-eligible shipping and hassle-free returns to customers worldwide-enabling them to focus exclusively on business growth while Amazon handles operational logistics.
The WW FBA Central Analytics team architects and maintains data infrastructure that delivers critical insights to WW FBA leadership.
This team forms strategic partnerships across global product, program, and technology teams to unify datasets, implement self-service analytics platforms, and develop AI capabilities that transform raw data into insights.
We are seeking a Data Engineering Manager who will lead a high-performing analytics team that supports WW FBA's core metrics and reporting -providing the critical data foundation for business reviews, operational insights, and dashboards that inform WW FBA decisions.
You will manage a team of Data Engineers, BIE, and Business Analysts, coordinating execution and driving high standards for data quality, delivery velocity, and operational excellence.
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 FBA business goals.
- Establish best practices for data engineering, including code reviews, testing, monitoring, and documentation.
- Drive team growth through mentoring, coaching, and career development.
- Partner with the GenAI platform team to align data governance, schema standardization, and data contracts where applicable.
BASIC QUALIFICATIONS:
- 5+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience
- 5+ years of relational database technology (such as Redshift, Oracle, MySQL or MS SQL) experience
- 5+ years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) experience
- 5+ years of data engineering experience
- Experience managing a data or BI team
- Experience communicating to senior management and customers verbally and in writing
- 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
PREFERRED QUALIFICATIONS:
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with AWS Tools and Technologies (Redshift, S3, EC2)
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.
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Unlock Your Data Engineering Potential: Insight & Career Growth Guide
Real-time Data Engineering Jobs Trends in India, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Engineering in India, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 161896 jobs in India and 11481 jobs in India. This comprehensive analysis highlights market share and opportunities for professionals in Data Engineering roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Amazon is currently hiring and seeking a Data Engineering Manager, WW FBA Central Analytics to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Amazon adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Engineering Manager, WW FBA Central Analytics Jobs India varies, but the pay scale is rated "Standard" in India. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data Engineering Manager, WW FBA Central Analytics typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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