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As a Warehouse Associate at Amazon, you'll play a vital role in ensuring our customers receive their orders quickly and efficiently. Experience with warehouse or logistics operations is preferred but not required.
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Oversee the accurate and timely shipping of retail purchase orders across all retail channels and platforms, including Shopify, EDI, 3PL warehouse management systems (WMS), and customer portals.
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Experience in Warehouse: SQL/NoSQL, Amazon Redshift, Snowflake, Apache Hive, HDFS etc. Experience in requirement gathering and designing enterprise warehouse solutions from scratch Hands-on experience with ETL tools like ADF, Databricks, Informatica.
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Experience utilizing, designing and leading data programs with one or more of the following products: Oracle OFSAA, Oracle ADW, Oracle FAW, OAC, Power BI, Power Query, Amazon AWS (Redshift and Related Toolsets) and/or Microsoft Azure.
$232,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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These integrations include data extraction, transformation and loading (ETL), application interfaces, data warehouse/data mart population, ODS population, data synchronization, provisioning, migration, profiling and cleansing.
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Dremio is the unified lakehouse platform for self-service analytics and AI, serving hundreds of global enterprises, including Maersk, Amazon, Regeneron, NetApp, and S&P Global. Customers rely on Dremio for cloud, hybrid, and on-prem lakehouses to power their data mesh, data warehouse migration, data virtualization, and unified data access use cases.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Possessing work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C Insurance data warehouse.
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Expert-level in Data Warehouse and pipelines technologies (Redshift, Glue, Kafka etc). Experience designing systems and solutions in AWS with technologies such as Amazon Redshift, Amazon Glue, PyApark, Python and Kafka.
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