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Experience in technologies such as Hadoop, Spark, Kafka, Redis, Cassandra, Pandas, Dask, Airflow, Apache Beam, MongoDb, Hive, Impala, Hazelcast, Athena, Presto. Experience in at least one modern programming language such as Python, Java, Go, Rust, and proficiency in SQL.
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AWS: EC2, Lambda, Batch, SageMaker, Redshift, Athena, Data wrangler, boto3, SQS, SNS, IAM, etc. Python (XGBoost, H2O, Scikit Learn, Numpy, Pandas, NLTK, Stats models, Deep Learning), Natural Language Processing.
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Familiarity with AWS and cloud native data processing tools like Redshift, Presto, EMR, Glue, Athena, SageMaker. Hands-on experience in Data Science with R or Python and familiarity with deep learning frameworks.
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Demonstrated experience in the following: Python, SQL, AWS, Snowflake, Big query, S3, Glue catalogue, Athena, airflow, etc., Demonstrated experience in the following: Python, SQL, AWS, Snowflake, Big query, S3, Glue catalogue, Athena, airflow, etc.
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Knowledge of relational database internals (locking, consistency, serialization, recovery paths), and Python scripting language. Working knowledge of Amazon Web Services (Aurora, Athena, Dynamo DB, Glue, Sagemaker, S3, etc.
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Hands-on experience with Postgres SQL, RedShift, Redshift spectrum, AWS Glue, Athena, Snowflake utilities, Snow SQL, Snow Pipe, AWS Lambda model techniques using Python. Hands-on experience with Postgres SQL, RedShift, Redshift spectrum, AWS Glue, Athena, Snowflake utilities, Snow SQL, Snow Pipe, AWS Lambda model techniques using Python.
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Develop code using SQL, SQL procedures, UNIX, python, ETL tools like Informatica Power center, AWS services like S3, data pipeline, AWS Glue, Python, AWS Lambda and Athena, Azure services like Data Lake, Data factory and Databricks to Load data into Data warehouse/DataMart/Data Lake.
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PAXAFE’s SaaS platform — CONTXT — is a device-agnostic risk-management platform (powered by ATHENA LLM) that automates lane mapping and temperature management workflow, minimizes product and lane qualification lead times and reduces overall product loss for Life Science shippers and service providers.
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Strong familiarity with any combination of our tech stacks in order of importance: Apache Kafka (MSK flavor preferred), Debezium, Python, Apache Flink or PySpark Streaming, MySQL (RDS flavors preferred), Python, CDK or Terraform, Athena, Glue, Lambda, Appflow, HANA/4, PHP, Redis, Docker, Javascript.
$100,000 - $145,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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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. Direct experience with scripting in JSON, YAML, HCL, Python, bash/PSH and/or AWS CloudFormation/AWS Cloud Development Kit (CDK.
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Experience with Key AWS services/components: EMR , Lambda, Glue ETL, Step Functions, s3,ECS, IAM, RDS PostgreSQL, CloudWatch Events/Event Bridge, Athena, SNS, SQS, VPC. If you are looking to work in a lively environment while learning and developing your AWS and python skills to help the trading desks reduce transaction costs, then this opportunity is for you.
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Utilize a broad range of technologies including Python, AWS, Tableau, Power BI, Looker, etc., to uncover insights in large volumes of data. Experience with AWS services: Redshift, Athena, Glue, Comprehend, and Sagemaker.
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Examples include: VPC Networking, DynamoDB, MongoDB, Aurora POSTGRES, Lambda, S3, GLUE, Athena, Kinesis, Kafka, EventBridge, SQS, SNS, Cloud Gateway, EC2, API Gateway. Experience with Python, PowerShell and shell programming (Bash.
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AWS Athena, Apache Spark, Hadoop, Hive. Advance Analytics: Python, R Studio, AWS Athena, Apache Spark, Hadoop, Hive. Tableau, PowerBI, Qlik. Advance Analytics: Python, R Studio, AWS, Azure, Google Cloud.
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Mastery of analytic and data visualization tools such as SAS, SQL, Adobe Analytics Tableau, Google Analytics, Python or R, AWS Cloud Services (Cloudwatch ,EC2, EMR, Redshift, Athena,Glue) etc.
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