Aws Data Engineer
We are looking for a Data Engineer specialized in AWS and GCP. The candidate that will succeed in this position will be able to create all the testing and automation frameworks as required for their projects. The candidate may have to work on multiple projects at once, also working to improve the company's best practices from a testing standpoint. Responsibilities: Use GCP to retrieve files from AWS S3, store them in Google Cloud Storage, normalize and transform the data using Vertex AI, and upload the processed data to BigQuery tables. Use AWS Glue and AWS Lambda to get data from different sources (Redshift, SharePoint, CSV, etc. ) in different formats and store them in S3. Use SNS and SQS to pass between buckets using Lambda Transformations. Orchestrate scripts from Glue and Lambda with Step Functions and EventBridge events. Use AWS Athena for data revision. Create graphics in AWS QuickSight using the processed data to create reports. Extract data from Google Analytics using AWS AppFlow and store them in S3 for Athena queries. Use AWS Services to fix some ETL processes in Java and Python. Transform JavaSpark with Hive to PySpark script. Use AWS Glue to get tables from Salesforce and FAST stored in S3. Create graphics in QuickSight using the relation between both tables' data. English and Spanish speakers Additional Information: Full Remote Access to continued training. Professional projection. Flexible remuneration in health insurance, restaurant tickets, daycare, and transportation. J-18808-Ljbffr
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