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Python, SQL, AWS, GCP, Golang, Hadoop, Snowflake, RDBMS, Kakfa, BI Reporting Tools, And Data Science Toolkits. Modern Data Workflows (Apache Airflow, dbt, Dagster) Projects May Also Require Understanding Of How To Move From a Legacy System (SQL Server, Relational Databases, Etc) Into a More Modern Architecture.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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5+ years of experience with modern Cloud computing technologies: AWS and Microsoft Azure. Experience with cloud AI ML capabilities like AWS, Databricks. Knowledge of modern software design patterns, including microservice design or edge computing.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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The FreeWheel Data Processing and Data Warehouse team is responsible for creating and managing the frameworks for large scale ETL using modern frameworks such as DBT and Spark. Designs and builds data processing pipeline using cutting edge AWS services, 3rd party open-source/commercial software, and internally developed software to ingest, process, and deliver data at scale.
$226,655.02 a yearFull-timeRemoteExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Expertise in AWS cloud application development, Trifacta, Axon, Enterprise Data Catalog (EDC), Enterprise Data Management, MDM Commercial Off-The-Shelf (COTS) Solution, System Integrator (SI) Relationship, Enterprise Reference 360, and Enterprise Data Governance.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Be the Trusted advisor and use proactive effort to find and understand customers’ pain points and work with partners to design and offer solutions (with business case) to technical leaders by being an Azure platform evangelist for Database scenarios like modernizing your legacy Data Warehouse and migrating to the cloud, new Modern Data Warehousing deployments and end to end Database solutions.
$268,900 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Tools and Technologies : Proficiency in data movement and integration tools like SQL, dbt, Qlik-Talend, AWS Lambda, AWS Glue, Informatica, Python, and Java. Strong knowledge of SQL, relational, and MPP databases (e.g., Snowflake, PostgreSQL, Redshift.
$190,000 a yearExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Use cutting edge technologies such as Python, Scala, Spark, and a variety of Cloud services to develop modern data pipelines supporting Machine Learning and Artificial Intelligence. 3+ years of experience with a public cloud (e.g., Microsoft Azure, AWS, Google Cloud.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Possessing understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers - AWS, Azure, GCP; You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata.
Full-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.
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Proficiency in modern on prem object storage technologies (CEPH, MinIO) and its cloud equivalents (AWS S3, Azure Blob Storage, Google Cloud Storage) Design, develop, and implement software solutions that enhance the reliability and fault tolerance of our modern data and machine learning platforms.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers - AWS, Azure, GCP; Implementing cloud data architecture and data integration patterns for one or more of the cloud providers (AWS Glue, Azure Data Factory, Event Hub, Databricks,Snowflake etc.
Full-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Deep knowledge of software architecture and engineering standard methodologies, especially modern cloud computing stacks for processing Big Data. Experience with AWS as a cloud provider, Spark, Kafka, Hadoop, Elastic Stack, Java, Docker for containers, etc.
Full-timeExpandApply NowActive JobUpdated 27 days ago
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