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Data Engineer II, Close Systems Job Opening In India, India – Now Hiring Amazon


Job description

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:
Are you interested in building high-performance, globally scalable Financial systems that support Amazon's current and future growth?

Are you seeking an environment where you can drive innovation?

Does the prospect of working with top engineering talent get you charged up?

If so, Amazon Finance Technology (FinTech) is for you.We have a team culture that encourages innovation and we expect developers to take a high level of ownership for the product vision, technical architecture,build a scalable,service-oriented platform and continuously innovate on behalf of our customers.

FinTech systems process large scale data sets eliminating several thousand hours of manual work for global Accounting and Finance teams.

Our systems leverage the latest technologies from the AWS stack providing engineers an amazing opportunity to learn and grow.

We are looking for a highly motivated and passionate Data Engineer who is responsible for designing, developing, testing, and deploying Financial Close Systems processes.In this role you will collaborate with business users, work backwards from customers, identify problems, propose innovative solutions, relentlessly raise standards, and have a positive impact on optimizing close process performance.You will be using the best of available tools, including S3,RedShift,Glue,Athena,DynamoDB,Spark,QuickSight and Lake Formation to develop optimized data models, ETL/ELT processes, data transformations, and data warehouse to ensure high-quality, well-structured data.You will enforce rigorous data governance, security, and compliance standards for our data, including data validation, cleansing, and lineage tracking.You will be responsible for the full software development life cycle to build scalable application and deploy in AWS Cloud.
BASIC QUALIFICATIONS:
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
PREFERRED QUALIFICATIONS:
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

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.

Required Skill Profession

Computer Occupations


  • Job Details

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7. Obeying India laws and regulations

What Is the Average Salary Range for Data Engineer II, Close Systems Positions?

The average salary range for a 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.

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Key qualifications for Data Engineer II, Close Systems typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Amazon interview tips for Data Engineer II, Close Systems

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Research: Learn about the Amazon's mission, values, products, and the specific job requirements and get further information about

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Final Thought:

To prepare for your Data Engineer II, Close Systems interview at Amazon, research the company, understand the job requirements, and practice common interview questions.

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By following these tips, you can increase your chances of making a positive impression and landing the job!

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