4 days ago
Bengaluru, India or Hyderābād, IndiaSenior
Responsibilities
- Architect and implement scalable, reliable, secure data pipelines and infrastructure for analytics, reporting, and business operations.
- Design and enforce data modeling, data lineage, governance, consistency, reusability, and quality standards.
- Lead design and code reviews and promote best practices in data development, documentation, testing, and monitoring.
- Build data platforms and frameworks supporting batch and real-time processing at scale.
- Implement secure and compliant data solutions meeting regulatory requirements such as GDPR.
- Evaluate emerging technologies to improve data platform performance, cost efficiency, and scalability.
- Collaborate with software engineers, product managers, analytics teams, and business stakeholders to define data requirements and solution architectures.
- Mentor junior engineers and contribute to team hiring and onboarding.
Requirements
- At least 5 years of data engineering experience.
- Experience with data modeling, data warehousing, and ETL pipeline development.
- Experience with SQL.
- Experience with at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS.
- Experience mentoring team members on best practices.
- Preferred experience with big data technologies such as Hadoop, Hive, Spark, or EMR.
- Preferred experience operating large data warehouses.
Tech Stack
Categories
Data Engineering
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.