Description
Amazon is seeking a talented Data Engineer II to join our team. In this role, you will design, build, and optimize data infrastructure that enables data-driven decision making across the organization. You'll work autonomously on complex data challenges while collaborating with cross-functional teams to deliver high-quality data solutions.
Key job responsibilities
Design, build, and optimize logical data models and data pipelines for complex datasets
Own ongoing data quality and create self-service access to datasets for business intelligence
Work on major portions of existing or new data architecture within the team
Collaborate with Software Development Engineers and other Data Engineers to design stable, performant data solutions
Write secure, stable, testable, and maintainable code with minimal defects
Apply appropriate data design approaches and make judicious trade-offs without over-engineering
Optimize resource usage including system hardware, data storage, query optimization, and AWS infrastructure
Participate actively in code reviews, design discussions, and team planning
Mentor and train junior team members and new peers
Resolve root causes of complex problems and balance customer requirements with team needs
Stay current on distributed systems technologies (MapReduce, MPP architectures, NoSQL databases)
A day in the life
As a DE II, you'll leverage your expertise in distributed systems and data technologies to solve difficult problems and contribute meaningfully to the team's data architecture while maintaining high standards of operational excellence.
Basic Qualifications
Bachelor's degree in computer science, engineering, mathematics or equivalent, or Bachelor's degree
3+ years of data engineering experience
Experience in one or more scripting languages (e.g., Python, Ruby, Perl)
Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
3+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience in web security and experience demonstrating software engineering skills in a previous intership, work experience, coding competitions, or publications
Knowledge of distributed, multi-tiered systems, algorithms, and relational databases
Experience with big data processing technology (e.g., Hadoop or ApacheSpark), data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments
Experience including, building and maintaining data flows and pipelines
Preferred Qualifications
Experience in AWS services
Experience designing large-scale systems and applications
Knowledge of data structures, data modeling, and database schema
Experience building strategic relationships with stakeholders, including communicating and collaborating across teams and functions
Experience in mentoring, leading, or managing more junior engineers
Experience building data pipelines and ETL processes for large language models (LLMs) and generative AI applications
Knowledge of vector databases and embeddings for semantic search and GenAI applications
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.
Company
- ADCI - Karnataka - A66
Job ID: A3139892