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Experience of software architecture using a calculation dependency graph (SecDB, Athena, Quartz, etc). Experience of using Python at an advanced level in a front-office production environment.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
$100,000 - $155,000Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience with data processing technologies and tools, such as Spark, Hadoop(HDFS, Hive, MapReduce), Athena, Airflow, Luigi. Experience with cloud infrastructure services, such as AWS(S3, EMR, EC2, Glue, Athena, SQS, SNS) or GCP.
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Python, MWAA (Airflow), Spark Optimization, AWS Glue, AWS EC2, Apache Spark. The ideal candidate will contribute to our Asset & Wealth Management domain leveraging their expertise in Python Apache Spark and various AWS services to drive innovation and excellence.
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AWS: S3, Step functions, Lambda, RDS, EMR, Athena/Glue. Good working knowledge of data transformation/data curation capabilities with python or using 3rd party tools (DBT, FiveTran, Informatica 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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Good knowledge of AWS services like EC2, S3, Lambda, Glue, Athena, Kinesis data streams, Kinesis Firehose, etc. Good understanding of SQL, Redshift, Python, SPARK, and JSON. Good knowledge of AWS services like EC2, S3, Lambda, Glue, Athena, Kinesis data streams, Kinesis Firehose, etc.
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Experience with AWS services: EC2, S3, EMR, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, and design patterns (Containers, Serverless, Docker, etc. 3+ years of experience with one or more programming languages, Python, Scala, or Java.
ExpandApply NowActive JobUpdated 11 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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Our industry-recognized team is in high demand across data analytics, robotic process automation, and artificial intelligence. This role will perform hands-on delivery of solutions that include artificial intelligence (AI) and cognitive services, ML models, pipelines, databases, and other data analytics components, contributing to the development and unit testing of solutions.
$100,000 - $155,000Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Whether you’re telling a data story in ways our clients never imagined or building advanced AI models with automated data engineering, the core purpose will be centered on using data to impact people in a meaningful way.
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Knowledge of API-based integration and security (SOAP and RestFul) - Mulesoft preferred. general and in-depth knowledge of AWS services, AWS architecture, and Machine learning. Good understanding of database concepts, modeling, and knowledge of SQL. MySQL and Oracle are a plus.
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3 years of experience building cloud scalable and high-performance data lake / data warehouse solutions using AWS products - S3, Athena, Glue, and EMR. Experience with binary data serialization formats such as Parquet.
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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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You're comfortable with building Serverless solutions on top of Amazon Web Services (AWS); we use Lambda, Glue, Athena, EventBridge, SNS, SQS, CloudWatch, and other similar products offered, and CDK to manage & deploy our services.
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