Data Engineer, Cross Border Science and Analytics
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Amazon's Cross Border business is looking for a passionate data engineer who can contribute to build the AI ready data infrastructure to support all analytical and science products for businesses.
- 1+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
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Job ID: 146889135
Skills:
Apache Airflow, Spark, Apache Beam, Python, Data Platform Management, Data Layer Design, dbt, Google Cloud Ecosystem, Google Cloud Services, Data Pipeline Development
Skills:
Hadoop, Linux Shell Scripting, Pyspark, Sql, Prior Exposure to AWS, AWS Awareness, Teradata
Skills:
Power Bi, Pyspark, Databricks, Azure, Sql, Azure DevOps, Delta Lake, CI CD
