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Sr Data Engineer II, IES CFX & Prime
Bengaluru, Karnataka, INDPosted 3 weeks ago
Full-timeonsite
Job Description
Does the prospect of dealing with massive volumes of data excite you? Do you want to lead scalable data engineering solutions using AWS technologies? Do you want to create the next-generation tools for intuitive data access? Amazon's Customer Fulfillment Experience & Prime team needs a Data Engineer to shape the future of the Amazon data platform by working with stakeholders across IES marketplaces. The team is committed to building the next generation AI-first big data platform that will be one of the world's largest data warehouses to support Amazon's rapidly growing and dynamic businesses, and use it to deliver the BI and science applications/solutions which will have an immediate influence on day-to-day customer shopping and browsing behaviors. Members of the team will be challenged to innovate using the latest big data techniques. We are looking for a passionate data engineer to develop a robust, scalable data model and optimize the consumption of data sources required to ensure accurate and timely reporting for the Amazon businesses. You will share in the ownership of the technical vision and direction for advanced reporting and insight products. You will work with top-notch technical professionals developing complex systems at scale and with a focus on sustained operational excellence. We are looking for people who are motivated by thinking big, moving fast, and exploring business insights. If you love to implement solutions to hard problems while working hard, having fun, and making history, this may be the opportunity for you.
Key job responsibilities
Design, implement, and support a platform providing secured access to large datasets. Interface with product/program managers to gather requirements and delivering scalable DE solutions. Collaborate with BIEs and Data scientists in the team to enable production level data pipelines ensuring data integrity, data model based design, data reliability, thorough validation, and documentation. Model data and metadata to support ad-hoc and pre-built reporting. Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. Tune application and query performance using profiling tools and AWS services. Analyze and solve problems at their root, stepping back to understand the broader context. Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use. Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS. Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets. Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment.
Does the prospect of dealing with massive volumes of data excite you? Do you want to lead scalable data engineering solutions using AWS technologies? Do you want to create the next-generation tools for
- 5+ years of data engineering experience
- 5+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
- Experience building large-scale, high-throughput, 24x7 data systems
- Experience providing technical leadership and mentoring other engineers for best practices on data engineering
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.
Key job responsibilities
Design, implement, and support a platform providing secured access to large datasets. Interface with product/program managers to gather requirements and delivering scalable DE solutions. Collaborate with BIEs and Data scientists in the team to enable production level data pipelines ensuring data integrity, data model based design, data reliability, thorough validation, and documentation. Model data and metadata to support ad-hoc and pre-built reporting. Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. Tune application and query performance using profiling tools and AWS services. Analyze and solve problems at their root, stepping back to understand the broader context. Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use. Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS. Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets. Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment.
Does the prospect of dealing with massive volumes of data excite you? Do you want to lead scalable data engineering solutions using AWS technologies? Do you want to create the next-generation tools for
- 5+ years of data engineering experience
- 5+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
- Experience building large-scale, high-throughput, 24x7 data systems
- Experience providing technical leadership and mentoring other engineers for best practices on data engineering
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.