ADCI
Software Development, Data Engineering, Retail
DataEngineer,CrossBorderScienceandAnalytics
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer, Cross Border Science and Analytics at ADCI. Skills: Data engineering, Data pipelines, AI applications. Build and scale data foundation. Design robust data pipelines”
What You'll Achieve.
Accelerate AI innovation
Industry & Context.
Solve complex design challenges
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
Nice to Have
Experience with AWS technologies, Experience with non-relational databases, Experience with object storage, Experience with document stores, Experience with key-value stores, Experience with graph databases, Experience with column-family databases
What You'll Do.
Build and scale data foundation
Design robust data pipelines
Design scalable data platforms
Enable high-quality datasets
Work on modern data architectures
Ensure efficient data processing
Experiment with AI-driven data techniques
Experiment with intelligent data systems
Collaborate with scientists
Collaborate with analysts
Collaborate with platform teams
Translate complex data needs
Design engineering solutions
Focus on data quality
Focus on platform innovation
Solve complex design challenges
Build systems that scale
How You'll Work.
Team & Collaboration
Collaborate with scientists; Collaborate with analysts; Collaborate with platform teams
Full Job Description
We are looking for a Data Engineer to help build and scale the data foundation powering next-generation AI and analytics. The role focuses on designing robust, scalable data pipelines and platforms that enable high-quality datasets for advanced AI applications. You will work on modern data architectures, ensuring performance, reliability, and efficient data processing at scale. The position offers opportunities to experiment with emerging AI-driven data techniques and intelligent data systems. You will collaborate with scientists, analysts, and platform teams to translate complex data needs into well-designed engineering solutions. A strong focus will be placed on data quality, automation, and platform innovation. The ideal candidate enjoys solving complex design challenges and building systems that scale seamlessly. Join us to shape the data backbone that accelerates AI innovation Basic Qualifications: - 3+ years of data engineering experience - 4+ years of SQL experience - Experience with data modeling, warehousing and building ETL pipelines 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) 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.
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