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location K.V.Rangareddy, TS

Industry Type(s): E-Commerce

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Data Engineer I - Tax Tech

Amazon

Location Hyderabad, TG

13 Days ago

Amazon Tax technology team is looking for individuals who can design and build world-class software. Would you like to be part of a team that is solving new business challenges through innovation and creative work?

It is Day 1 in Tax Technology, and we’re at the inception of building an entire suite of global tax solutions. You will get the opportunity to work through all the phases of software development; starting from requirements gathering, designing solutions, building new interfaces, integration with existing architectures, development and testing code, and delighting the customers with world-class software.

The ideal candidate is excited by technology, enjoys new challenges, passionate about learning and should view every customer interaction as an opportunity to create an exceptional customer experience. As a Data Engineer in this team, you will be responsible for developing the data architecture components that scale for the ever-evolving needs of the entire organization. You will focus on automation and optimization for all areas of data storage and processing. The role of a data engineer at Amazon requires excellent technical skills in order to develop systems and tools to process and analyze data.

Responsibilities:
- Interface with business customers, gathering requirements, designing solutions, integration with existing systems/processes, development and testing code.
- Continually improve ongoing data processing and analysis workflows, automating or simplifying self-service support for customers
- Build scalable, highly available and resilient applications by utilizing AWS technologies like S3, RedShift/RDS/DynamoDB, EC2, Lambda, QuickSight, etc.,
- Develop technical solutions in using SQL, Spark, Python, Scala, etc., and whatever suits the problem at hand to deliver value to tax customers
- Build iteratively using agile methodologies
Basic Qualifications:
- Bachelor’s degree in Computer Science or equivalent
- 1+ years of professional experience in data engineering, database engineering, business intelligence or a related field
- 1+ years of work experience writing SQL and query performance tuning on large datasets
- 1+ years of work experience on data modelling, ETL development and data warehousing

Preferred Qualifications:
- Strong understanding of data management fundamentals and data storage principles
- Must be able to solve a complex problem on their own by utilizing experience and other resources
- Hands-on work experience on AWS technologies (Redshift, S3, Glue, Athena, etc.,)
- Excellent verbal and written communication skills
- Exposure to any one reporting tool AWS QuickSight, Tableau, SSRS or Power BI
- Experience working on any one modern programming or scripting language (Python, Scala, Java, etc.,)

Amazon is an Equal Opportunity-Affirmative Action Employer- Female/Minority/Disability/Vet

BASIC QUALIFICATIONS

· 1+ years of experience as a Data Engineer or in a similar role
· Experience with data warehousing, and building ETL pipelines
· Experience in SQL
- Bachelor’s degree in Computer Science or equivalent
- 1+ years of professional experience in data engineering, database engineering, business intelligence or a related field
- 1+ years of work experience writing SQL and query performance tuning on large datasets
- 1+ years of work experience on data modelling, ETL development and data warehousing

PREFERRED QUALIFICATIONS


- Strong understanding of data management fundamentals and data storage principles
- Must be able to solve a complex problem on their own by utilizing experience and other resources
- Hands-on work experience on AWS technologies (Redshift, S3, Glue, Athena, etc.,)
- Excellent verbal and written communication skills
- Exposure to any one reporting tool AWS QuickSight, Tableau, SSRS or Power BI
- Experience working on any one modern programming or scripting language (Python, Scala, Java, etc.,)


Experience:1 year(s)


Job Type

Full-time

Job Functional Area

Tax

Industry

E-Commerce, Technnology