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Data Engineer, Fintech

1-8 years

₹ 8 - 45L/yr (AmbitionBox estimate)

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This is an estimate of the average salary range for this position. It has not been reviewed by the company, and the actual salary may differ.

Hyderabad / Secunderabad

1 vacancy

Data Engineer, Fintech

Amazon

posted 15d ago

Job Role Insights

Flexible timing

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? Amazons Finance Tech team needs a Data Engineer to shape the future of the Amazon finance data platform by working with stakeholders in North America, Asia and Europe. The team is committed to building the next generation big data platform that will be one of the worlds largest finance data warehouses by volume to support Amazons rapidly growing and dynamic businesses, and use it to deliver the BI applications which will have an immediate influence on day-to-day decision making. 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 tax, finance and accounting customers, gathering requirements and delivering complete BI solutions. Collaborate with Finance Analysts to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, 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 SQL. 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.

- 1+ years of data engineering experience
- Experience with SQL
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e. g. , SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e. g. , Python, KornShell)

Employment Type: Full Time, Permanent

Read full job description

Amazon Interview Questions & Tips

Prepare for Amazon Data Engineer roles with real interview advice

Top Amazon Data Engineer Interview Questions

Q1. Maximum Subarray Sum Problem Statement Given an array of integers, determine the maximum possible sum of any contiguous subarray within the ... read more
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What people at Amazon are saying

3.2
 Rating based on 35 Data Engineer reviews

Likes

Salary and perks are good

  • Salary - Good
Dislikes

Work life valance is not good at all

Read 35 Data Engineer reviews

Data Engineer salary at Amazon

reported by 314 employees with 1-8 years exp.
₹11 L/yr - ₹33 L/yr
111% more than the average Data Engineer Salary in India
View more details

What Amazon employees are saying about work life

based on 25.2k employees
62%
53%
69%
77%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

Amazon Benefits

Submitted by Company
Healthcare & Financial Benefits
Parental Leave & PTO
Professional Development
Employee Assistance Program (EAP)
Submitted by Employees
Work From Home
Job Training
Health Insurance
Free Transport
Cafeteria
Soft Skill Training +6 more
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Amazon Development Center India Pvt. Ltd., 2nd Floor-Block A & Block B, Survey Number-109,110,111/2, Nanakramguda Village, Serlingamplayy Mandal, Hyderabad Hyderabad
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