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Data Engineer II, FinAuto, Accounts Receivable Data Engineering

5-12 years

Hyderabad / Secunderabad

1 vacancy

Data Engineer II, FinAuto, Accounts Receivable Data Engineering

Amazon

posted 25d ago

Job Role Insights

Flexible timing

Job Description

After the successful on boarding on data mesh architecture serving thousands of users, we are excited to further evolve our data products to make it AI ready. Finance Automation team at Amazon is looking for Data Engineer to play a key role in building next generation Financial data warehouse. Join us if you would like to be part of the exciting journey of further modernizing our architecture to be AI ready, leveraging Zero ETL, AWS Data Zone with end to end data lineage and 100% data quality visibility. The ideal candidate will be passionate about building next generation extremely large, scalable and fast distributed systems on AWS stack and will want to be part of a team that has accepted the goal to democratize access to data and enabling data driven innovations for entire Finance business in Amazon. We are one of fastest growing Data Engineering team across Amazon with strong technology orientation.

Looking for a candidate with strong background in new age AWS stack (S3, EMR, Redshift) or traditional BI & DW with interest in data mining and ability to sieve emerging patterns and trends from large amount of data. Data Engineer should have strong experience with all standard data warehousing technical components (e. g. ETL, Reporting, and Data Modeling), infrastructure (e. g. hardware and software) and their integration. The ideal candidate will have extensive experience in dimensional modeling, excellent problem solving ability dealing with huge volumes of data and a short learning curve. Excellent written and verbal communication skills are required as the candidate will work very closely with diverse teams and senior leadership.

Join our exceptional team where youll tackle challenging problems while working alongside industry-leading data engineering talent. We offer a premium work environment where you can make meaningful contributions, shape the future of data engineering, and enjoy the journey along the way.

Candidate should have :
Strong understanding of ETL concepts and experience building them with large-scale, complex datasets using traditional or map reduce batch mechanism.
Strong data modelling skills with solid knowledge of various industry standards such as dimensional modelling, star schemas etc
Extremely proficient in writing performant SQL working with large data volumes
Experience designing and operating very large Data Warehouses
Experience with scripting for automation (e. g. , UNIX Shell scripting, Python).
Good to have - experience working on AWS stack Clear thinker with superb problem-solving skills to prioritize and stay focused on big needle movers Curious, self-motivated & a self-starter with a can do attitude . Comfortable working in fast paced dynamic environment.


- 3+ years of data engineering experience
- 4+ years of SQL experience
- Experience with data modeling, warehousing and building ETL pipelines

Employment Type: Full Time, Permanent

Read full job description

Prepare for Accounts Receivable roles with real interview advice

Top Amazon Accounts Receivable 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

Accounts Receivable salary at Amazon

reported by 1 employee with 1 years exp.
₹3.6 L/yr - ₹4.6 L/yr
27% more than the average Accounts Receivable Salary in India
View more details

What Amazon employees are saying about work life

based on 25.3k employees
62%
53%
69%
77%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

Amazon Benefits

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Healthcare & Financial Benefits
Parental Leave & PTO
Professional Development
Employee Assistance Program (EAP)
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Work From Home
Job Training
Health Insurance
Free Transport
Cafeteria
Soft Skill Training +6 more
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Hyderabad Office
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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