COMPLETE Data Engineer, Amazon - Hyderabad

Job Description

Want to be part of an exciting journey of building the Next Generation Financial Systems Architecture to enable Amazon businesses across Retail, Digital, AWS, Physical stores, Corporate businesses, Amazon subsidiaries and many more?

Want to shift your experiences from working at the peripheries of the systems to actually start owning and designing their cores?

Want to have new learnings around how business financial transactions are handled in such a big organization like Amazon into your portfolio along with enhancing your technical skills around designing and developing highly scalable and distributed systems ?

If your answer to any of these questions is yes, you are exploring at the right place!

The Finance Automation team is looking for a Data Engineer to build our next generation of data engineering services in the Amazon finance space. The ideal candidate will be passionate about building large, scalable, and fast distributed systems on the AWS tech stack. The candidate will be part of a team with a goal to innovate and impact the entire finance business space within Amazon. We are one of the fastest growing Data Engineering teams across Amazon with technology orientation.

We are looking for a candidate with background in the AWS technology stack (S3, Glue, IAM, Redshift) and data warehousing experience with interest in data mining and ability to identify emerging patterns and trends from large amounts of data. The candidate is expected to have strong experience with all standard data warehousing technical components (e.g. ETL, Reporting, and Data Modelling), infrastructure (hardware and software) and its integration. The candidate has experience in dimensional modelling, excellent problem-solving ability, capability in dealing with huge volumes of data, and a short learning curve. Written and verbal communication skills are required as the candidate will work very closely with different teams and senior leadership across Amazon.

Along with complex problems to solve, we provide a world class work environment side by side with talented team members in the data engineering space and the opportunity to contribute and create history while having fun.


Key job responsibilities
- Design, build and own components of a high volume data warehouse.
- Build efficient data models using industry best practices and metadata for ad hoc and pre-built reporting.
- Interface with business customers, gathering requirements and delivering complete data and reporting solutions owning the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions.
- Continually improve ongoing reporting and analysis processes, automating and simplifying self-service support capabilities for our customers.
- Interface with other technology teams to extract, transform, and load (ETL) data from a wide variety of data sources.
- Own the functional and non-functional scaling of software systems in your area.
- Provide input and recommendations on technical issues to other engineers, business stake holders, and data analysts.
- Collaborate with data scientists to continue to build and enhance new or existing ML programs.

We are open to hiring candidates to work out of one of the following locations:

Hyderabad, TS, IND

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)