Data Engineer, Cross Border Science and Analytics
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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
- 3+ years of data engineering experience
- 4+ years of SQL experience
- Experience with data modeling, warehousing and building ETL pipelines
- 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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Job ID: 144601857
Skills:
Power Bi, Scala, Azure Databricks, Data Warehouse, Sql, Azure Data Factory, Spark, Python, Azure DevOps, Azure Data Lake Storage, Synapse Analytics, Delta Lake
Skills:
Metadata Management, Databricks, Python, Data lineage techniques, Master data management, Data modeling methodologies, Big Data storage architecture
Skills:
Oracle Cloud, RDBMS, Power Bi, Tableau, Workday, Sql, Salesforce
Skills:
BigQuery, DataFlow, Python, Sql, API scripting, Airflow, Composer DAGs, Google Cloud SDK
Skills:
snowflake , S3, Redshift, Jenkins, Lambda, Spark Streaming, Apache Kafka, Gitlab, Data Governance, Python, AWS, Alation, Glue, Data Quality Mesh
