Job Description
Join us in the International Seller Services Central Analytics Team and Tackle Data Warehousing and Reporting Challenges! We are a dedicated group of BIE, DE, DS, AS and BAs within the Seller Services organization at Amazon. Our mission is to deliver data-driven analytical solutions that empower sellers to thrive on Amazons global platform. We specialize in constructing and maintaining intricate standard data pipelines that are used by thousands of users across the globe to measure, derive and analyze performance of the sellers selling on Amazon. We are currently in search of a brilliant, self-driven, and seasoned BIE III to join our team. In this role, you will have the opportunity to work on building scalable solutions, including extensive data models and complex ETL pipelines and utilize your expertise to raise the bar on data timeliness, discoverability and availability of the same. Design and implement scalable, secure data pipelines and infrastructure using AWS technologies and big data tools
Build and maintain high-performance ETL processes that handle large-scale, complex datasets
Architect end-to-end analytical solutions that are highly available, stable, and cost-effective
Transform raw data into actionable insights through effective data modeling and integration
Implement best practices in data system creation, data integrity, and documentation
Proactively identify opportunities for process improvement and automation
Partner with business stakeholders to gather requirements and translate them into technical solutions 3+ years of data engineering experience
4+ years of SQL experience
Experience with data modeling, warehousing and building ETL pipelines 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)
Job Classification
Industry: Internet
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Amazon
Location(s): Hyderabad
Keyskills:
Automation
data engineer ii
Data modeling
Analytical
Process improvement
data integrity
big data
Data warehousing
Analytics
SQL