À propos
Amazon is a leading company in the e-commerce and cloud computing sectors, and they are seeking a Data Engineer II to join their Payments Products team. The role involves designing and optimizing data models and pipelines, collaborating with cross-functional teams, and driving innovation in data architecture to support Amazons credit card businesses.
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)
Qualifications : Required : • 3+ years of data engineering experience • 4+ years of SQL experience • Experience with data modeling, warehousing and building ETL pipelines • Experience with at least one programming language (Python, Java, Scala) • Proven ability to work with large-scale datasets and optimize performance
Preferred : • Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions • Knowledge of non-relational databases (DynamoDB, document stores, graph databases) • Bachelors degree in Computer Science, Engineering, or related technical field • Experience with big data frameworks: Spark, Hadoop, Hive • Experience with real-time/streaming data architectures (Kafka, Kinesis, Flink) • Familiarity with CI/CD pipelines and infrastructure-as-code
Company :
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence. Founded in 1994, the company is headquartered in Seattle, USA, with a team of 10001+ employees. The company is currently Late Stage.
Compétences linguistiques
- English
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