ASSPL

Business Intelligence, Data Engineering, finance

SrDataEngineerII,IESCFX&Prime

₹28–43L ~AI est. Bengaluru, Karnataka, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Sr Data Engineer II, IES CFX & Prime at ASSPL. Skills: Data engineering, Data warehousing, AWS technologies. Design platform for secured access. Implement platform for secured access”

What You'll Achieve.

Deliver BI and science applications/solutions; Ensure accurate and timely reporting

Industry & Context.

Business Intelligence, Data Engineering, finance
Problems you'll solve

Analyze and solve problems at their root; Quantitative analysis; Business judgment

What They're Looking For.

Must Have

5+ years data engineering experience, 5+ years developing/operating large-scale data structures, 5+ years analyzing/interpreting data, Track record manipulating/processing/extracting value from large datasets

Nice to Have

Technical leadership experience, Mentoring experience for data engineering best practices

What You'll Do.

Design platform for secured access

Implement platform for secured access

Support platform for secured access

Interface with product/program managers

Deliver scalable DE solutions

Collaborate with BIEs and Data scientists

Enable production level data pipelines

Ensure data integrity

Ensure data model based design

Ensure data reliability

Perform thorough validation

Document data pipelines

Model data and metadata

Support ad-hoc reporting

Support pre-built reporting

Own design of metrics

Own development of metrics

Own maintenance of metrics

Own design of reports

Own development of reports

Own maintenance of reports

Own design of analyses

Own development of analyses

Own maintenance of analyses

Own design of dashboards

Own development of dashboards

Own maintenance of dashboards

Tune application performance

Tune query performance

Understand Amazon's data resources

Design data architecture

Scale data architecture

Improve reporting processes

Improve analysis processes

Automate support for datasets

Simplify support for datasets

Triage courses of action

Make quantitative analysis decisions

Make business judgment decisions

How You'll Work.

Team & Collaboration

Stakeholders across IES marketplaces; Product/program managers; BIEs and Data scientists

Full 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 metadat

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