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Minimum 5 years of related big data engineering experience modeling and developing large data pipelines. Experience with at least one major MPP or cloud database technology (Snowflake, Redshift, Big Query, Databricks.
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Architect and implement big data processing solutions using Databricks, leveraging Apache Spark for data transformation, ETL processes, and machine learning workflows. Proficiency in Databricks, Apache Spark, and related big data technologies.
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5+ years of Azure Data Engineering experience including some of the following: Data Factory, Log Analytics, Databricks, Synapse, Power BI, ADLS Gen2, GCP Cloud storage and Big Query.
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Graduate-level degree in computer science, engineering, or relevant work experience Preferred: Understanding of ML frameworks (sklearn, TensorFlow, PyTorch, etc) Experience working with big data platforms (Hadoop, Redshift, Snowflake, etc) Architecture, design patterns, production scaling/optimization Insurance industry experience Salary range: $132,500-$197,500 Overtime eligible: Exempt Discretionary bonus eligible: Yes Sales bonus eligible: No.
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In HADOOP , you'll be given an introduction to BIG DATA, APACHE HADOOP, HADOOP ECOSYSTEM, CLOUDERA QUICKSTART VM along with core concepts of the Hadoop framework including MapReduce, HIVE, PIG, SQOOP, FLUME, HBASE, OOZIE.
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5+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges.
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Demonstrated track research record in the fields of statistics, machine learning, computational biology, data science or related field (computer science, physics, biostatistics, bioinformatics.
$100,940 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Skills:Python ETL, Azure Data Factory, DataBricks, Azure Storage, and Azure VM, Data Governance, Data Quality, and Controls, Financial or Banking industry, Data Engineering.
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5+ years of experience as an statistician, economist, or data scientist with experience building optimization models, economic models (e.g., supply and demand systems), and statistical/ML modeling for complex problem-solving.
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From Google and UNICEF to Big Brothers Big Sisters of America and Oxfam, we transform how brands and causes raise money, influence policy, build platforms, and grow communities of supporters.
$90,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Software/Applications, LSEG Refinitiv Real Time Data System (RTDS fka TREP), Tibco Rendez Vous, Rendez Vous Router, Bloomberg Systems (Terminal, API, Server API, Bpipe), Market Access Systems: example Tradeweb, ION, Fidessa, Windows 10/11, Windows Server, Unix Based systems: Linux Redhat, Unix Shells, Powershell & Python a plus.
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Enable streaming data use-cases and standard design patterns in a big data environment. Qualifications and Skills IT professional experience in Azure Cloud with over 5+ years of Azure Development Ability to recreate existing legacy application logic and functionality into Azure Databricks/Data Lake, SQL Database and SQL Datawarehouse environment.
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Advanced Statistical Analysis & ML Models: Utilize advanced statistical analysis and machine learning models to predict the next best patient, the next best action for physicians, and implement big data forecasting techniques at the territory level.
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Best-in-Class Tech Stack: Work with top-tier tools like Segment, mPartical, PowerBI, Tableau, Microsoft Azure, Google Big Query, Python, Google Workspace, Slack, ClickUp, Zoom and more ensuring you have the resources you need to excel in your role.
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big data jobs Company: Php in Jersey City, NJ
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