ADCI
Software Development, Data Engineering, no business category
DataEngineerII
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer II at ADCI. Skills: Data engineering, Data pipelines, Data warehousing, ETL. Own design of large-scale datasets. Own development of large-scale datasets”
Industry & Context.
Performance optimization
What They're Looking For.
Must Have
3+ years of data engineering experience, 4+ years of SQL experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, 2+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies
Nice to Have
Experience with AWS technologies, Experience with non-relational databases, Knowledge of batch and streaming data architectures, Knowledge of distributed systems
What You'll Do.
Own design of large-scale datasets
Own development of large-scale datasets
Own management of large-scale datasets
Own design of data pipelines
Own development of data pipelines
Own management of data pipelines
Build efficient data warehouse solutions
Develop scalable ETL pipelines on AWS
Integrate data from multiple sources
Automate manual processes
How You'll Work.
Team & Collaboration
Work with business stakeholders; Work with engineers; Work with partner teams
Full Job Description
The International Stores Finance Central Engineering team is seeking a Data Engineer to build scalable data solutions that support a fast-growing and evolving business. This role focuses on designing and implementing data standardization frameworks and AI-enabled solutions that improve how data is delivered and used for day-to-day decision-making. As a Data Engineer, you will own the design, development, and management of large-scale datasets and data pipelines. You will work closely with business stakeholders, engineers, and partner teams to define data models and build efficient data warehouse solutions for reporting and analytics. You will develop and maintain scalable ETL pipelines on AWS, integrate data from multiple sources, and automate manual processes. Strong SQL skills and a focus on performance optimization are essential to ensure reliable and high-quality data delivery. Basic Qualifications: - 3+ years of data engineering experience - 4+ years of SQL experience - Experience with data modeling, warehousing and building ETL pipelines - 2+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience Preferred Qualifications: - 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) - Knowledge of batch and streaming data architectures like Kafka, Kinesis, Flink, Storm, Beam - Knowledge of distributed systems as it pertains to data storage and computing 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/accommoda
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