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Understand the design and develop the standard framework modules, high performance services and client libraries for big data using one or more tools from AWS, Azure, Kubernetes, Spark, DBT, Databricks and snowflake, AWS S3, Azure Blob Store.
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Mulesoft Integration: Hands-on experience with Mulesoft’s Anypoint Platform is a big plus. Please email your resume orUse this link to apply directly: Or email: igorkbrainsworkgroup.com Check ALL our Jobs: Keywords: java oracle sql api python javascript tidal jira servicenow confluence analyst pl/sql t-sql mulesoft anypoint ci/cd python restful postman swagger apigee.
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Experience with data warehouse platforms such as Redshift, Databricks, Big Query, Snowflake. 8+ years' experience in engineering data pipelines using big data technologies (Spark, Flink etc.
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As a Senior Lead Software Engineer at JPMorgan Chase within the Corporate Technology Engineering and Architecture team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way.
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3) Hands-on experience with big data technologies such as Hadoop, Spark, Kafka, and distributed computing frameworks. 4) Knowledge of data lake and data warehouse solutions, including Databricks, Azure Data Factory, Airflow etc.
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I worked extensively on POCs, Consulting Solutions, ETL Framework/ Architecture, Big Data technologies, Talend Master Data management, Performance optimization, ETL techniques, pilot projects, SQL Views etc.
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Immerse yourself in Times Square, heart of New York City. Here at the Renaissance TSQ, we are like a big work family embracing each other and valuing our diversity. For your physical and mental wellness we offer competitive Medical and Dental programs through Anthem Blue Cross Blue Shield as well as Vision insurance programs through EyeMed. Our Vacation, Sick and Holiday programs are available for you to rejuvenate with time off.
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Programming experience on Java, Hadoop / Big Data, Teradata, Hadoop and Netezza, Microstrategy , Tableau experience a plus. Experience in multiple database platforms is preferred: SQL Server, Oracle, Exadata, Big data.
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As a pioneer in big data technologies, we offer challenging research opportunities in statistics and machine learning, statistical computing, data visualization, text mining, time series modelling, data stream and database management, data quality and anomaly detection, and data privacy.
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Add-on Applications: WorldShip, EDI, Esker, (Dell) Boomi, Big Commerce. Experience/knowledge with OPTIO software documents is a big plus. Experience/knowledge with OPTIO software documents is a big plus.
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Design and implement data-centric solutions on Google Cloud Platform (GCP) using various GCP tools like Big Query, Google Cloud Storage, Cloud SQL, Memory Store, Dataflow, Dataproc, Artifact Registry, Cloud Build, Cloud Run, Vertex AI, Pub/Sub, GCP APIs.
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Expertise dealing with big-data technologies such as Snowflake or similar. Title: RUST Developer. Candidate Profile: RUST Python Understanding of tokenization Must have understanding of algorithmic/ trading knowledge/ experience – high volume, low latency, electronic trading systems Nice to Have: Experience with digital assets/ EVM Cloud experience- AWS.
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Experience with Google Cloud Services such as Streaming + Batch, Cloud Storage, Cloud Dataflow, Data Proc , DFunc, Big Query & Big Table. 6-8 years of Data Engineering experience working with both distributed architectures, ETL, EDW and Big Data technologies.
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Proficiency in Databricks, Spark, and related big data technologies. Proven experience as Data Engineer, or similar role, with a focus on Databricks. Guide client on implementation of Databricks on AWS or Azure.
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Amazon Web Services (AWS) offers a complete set of cloud services that enable all companies, from startups to enterprises, to run virtually everything in the cloud, including mobile applications, big data analytics, AI/ML platforms, and microservices/serverless infrastructures.
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big job Company: Aerotek in Rutherford, NJ
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