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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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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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Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning.
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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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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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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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Job: RUST Developer. Must have an understanding of algorithmic/ trading knowledge/ experience – high volume, low latency, electronic trading systems. Team is developing a full-service digital assets enterprise-grade platform for trading and yield generation on assets such as Bitcoin and Ethereum.
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Extensive experience with Azure Databricks, Apache Spark, and Big Data technologies. The ideal candidate will have a deep understanding of the Azure Databricks platform, Big Data technologies, and the broader Azure ecosystem.
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Manhattan has big-name attractions, such as Central Park, the Empire State Building, St. Patrick's Cathedral, the High Line, and One World Observatory. Manhattan has big-name attractions, such as Central Park, the Empire State Building, St. Patrick's Cathedral, the High Line, and One World Observatory.
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big tires jobs Company: Aerotek in Rutherford, NJ
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