ADCI
Software Development, Data Engineering, consumerpayments
DataEngineerII
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer II at ADCI. Skills: Data engineering, Data infrastructure, Data modeling, Data pipelines. Design logical data models. Build logical data models”
Industry & Context.
Complex data challenges; Root cause analysis
What They're Looking For.
Must Have
Bachelor's degree, 3+ years of data engineering experience, Experience in one or more scripting languages, Experience with one or more query language, 3+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience, Experience including analytical skills, Experience including attention to detail, Experience including effective communication abilities, Knowledge of distributed, multi-tiered systems, Knowledge of algorithms, Knowledge of relational databases, Experience with big data processing technology, Experience with data warehouse technical architecture, Experience with infrastructure components, Experience with ETL, Experience with reporting/analytic tools and environments, Experience building and maintaining data flows and pipelines
Nice to Have
Experience in AWS services, Experience designing large-scale systems, Experience designing large-scale applications, Knowledge of data structures, Knowledge of data modeling, Knowledge of database schema, Experience building strategic relationships with stakeholders, Communicating and collaborating across teams and functions, Experience in mentoring junior engineers, Experience leading junior engineers, Experience managing junior engineers, Experience building data pipelines for LLMs, Experience building ETL processes for LLMs, Experience building data pipelines for generative AI, Experience building ETL processes for generative AI, Knowledge of vector databases, Knowledge of embeddings for semantic search, Knowledge of embeddings for GenAI applications
What You'll Do.
Design logical data models
Build logical data models
Optimize logical data models
Design data pipelines
Optimize data pipelines
Create self-service access to datasets
Work on data architecture
Collaborate with Software Development Engineers
Collaborate with Data Engineers
Design stable data solutions
Design performant data solutions
Write maintainable code
Apply data design approaches
Make judicious trade-offs
Optimize resource usage
Optimize system hardware
Optimize data storage
Optimize query optimization
Optimize AWS infrastructure
Participate in code reviews
Participate in design discussions
Participate in team planning
Mentor junior team members
Train junior team members
Resolve root causes of complex problems
Balance customer requirements
Stay current on distributed systems technologies
How You'll Work.
Team & Collaboration
Cross-functional teams; Software Development Engineers; Other Data Engineers
Communication Scope
Effective communication
Process & Methodology
Team planning
Full Job 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
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