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AWS Data Lead

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This role is for an AWS Data Lead in Mountain View, CA, offering a contract length of "unknown" at a pay rate of "unknown." Key skills include advanced SQL, Python, Pyspark, AWS Glue, and experience with large data sets and ETL processes.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
April 3, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
On-site
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Mountain View, CA
🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #S3 (Amazon Simple Storage Service) #Athena #SQL (Structured Query Language) #AWS (Amazon Web Services) #Python #Spark (Apache Spark) #Databricks #PySpark #AWS Glue #Cloud #JSON (JavaScript Object Notation) #AWS S3 (Amazon Simple Storage Service) #Data Catalog
Role description
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Role : Aws Data Lead

Location : Mountain View CA (onsite)

Must have skills

   • SQL (ANSI, Spark) – Needs to be very proficient with writing highly efficient and complex analytical queries (multi-join, unnest etc.). Data modelling, optimization, ability to handle large data sets

   • Python, Pyspark

   • Knowledge of Columnar data formats like Parquet, ORC

   • Glue Data Catalog, Hive

   • AWS Glue - ETL, Workflows (Building a Glue Spark job to transform raw JSON data from S3 into a Parquet, ORC)

   • Amazon Kinesis (Data Streams, Data Firehose) AWS Sage maker , AWS S3 , AWS CloudFormation or AWS CDK , Amazon Athena

   • Databricks SQL, Notebooks