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1+ years of experience in AWS technologies, such as AWS Batch, S3, Athena, Lambda, DynamoDB. 1+ years of experience in AWS technologies, such as AWS Batch, S3, Athena, Lambda, DynamoDB.
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Experience in AWS Data Analytics platform and related services - S3, AWS Glue, Redshift, Athena, Lake Formation, Lambda, etc. Good understanding of Data Warehousing and Data Modelling concepts on AWS Redshift.
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AWS Data Services: Proficiency in Lake formation, Glue ETL (or) EMR, S3, Glue Catalog, Athena, Kinesis (or) MSK, Airflow (or) Lambda + Step Functions + Event Bridge. Utilize programming languages like Java, Python, NoSQL databases, SQL, Container Orchestration services including Kubernetes, and a variety of AWS tools and services.
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Web application development using AWS native services such as AWS S3, AWS EventBridge, AWS Cloudwatch and AWS Athena is preferred. Develop code modules for data extraction from data sources including Parquet and AWS Cloudwatch and AWS EventBridge.
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AWS (s3, IAM, Glue, SNS, SQS, VPC, Athena, EC2, etc.) ETL tools, primarily Talend or similar (Ab Initio, Informatica) AWS (s3, IAM, Glue, SNS, SQS, VPC, Athena, EC2, etc.) Incorporate core data management competencies including data governance, data security and data quality.
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IP Athena – An AI/ML powered career optimization software leveraging GPT-4 and other technologies to help empower our students with the correct resources needed to land tech jobs. IP Labs – In-house multi-cloud (on-prem & AWS) student lab deployment system for course exercises and missions for instructors and students to engage in learning modern security tools.
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Experience with AWS data services, including Redshift, S3, EMR, Glue and Athena. Sr. AWS Data engineer - Santa Monica, CA - Onsite. Job Title: Sr. AWS Data engineer. Design, implement, and maintain the data architecture for all AWS data services.
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Demonstrated experience with AWS services such as Amazon EMR, Amazon EC2, Amazon S3, AWS Lambda, AWS Systems Manager, AWS IAM, Amazon RDS, Amazon RedShift, Amazon Athena, Amazon Sagemaker.
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Cloud Technologies - AWS S3, AWS Athena. To discuss this amazing opportunity, reach out to our Talent Acquisition Specialist Chaitali Lad at email address chaitali.lad@generistek.com can be reached on # 630-576-1929.
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Experience with AWS Services such as EC2, S3, Redshift/Spectrum, Glue, Athena, RDS, Lambda, and API gateway. Experience with AWS Services such as EC2, S3, Redshift/Spectrum, Glue, Athena, RDS, Lambda, and API gateway.
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PySPARK, SQL, Athena, Redshift. Experience in supporting, maintaining, monitoring AWS Cloud jobs and workflows (L3 support activities that include manual and ad-hoc job executions) Hands on experience on AWS Data Engineering and Data Ingestion.
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Knowledge of AWS cloud services such as S3, EMR, Lambda, Glue, Sage Maker, Redshift & Athena and/or Snowflake. Experience with Data Science including AI/ML Engineering, ML framework/pipeline build and predictive/prescriptive analytics on Aws Sagemaker.
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Experience developing applications/utilities using Python, Java, or Scala leveraging tools like Presto, AWS Athena, Spark or AWS Glue. Understand data lakehouse technologies like Iceberg, Databricks, Redshift Spectrum, Athena and Snowflake.
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AWS, Azure, Google, Snowflake, and/or Databricks Certification. Experience designing and building solutions utilizing various Cloud services such as EC2, S3, EMR, Kinesis, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, etc.
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The successful candidates will leverage internal tools and SDKs, utilize AWS services such as S3, Athena, and Glue, and integrate with our internal Archival Service Platform for efficient data purging.
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