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The ideal candidate will have a robust understanding of big data processing, experience with Apache Spark, and a proven track record in Python programming. We are seeking an experienced Python Developer with a strong background in PySpark to join our data engineering team.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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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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Manage staff towards compliance with all regulations by creating and refining systems for data collection and entry, training staff, monitoring progress , and holding staff accountable for completion.
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The CTS teams include Data Science, Data Management and Client Engagement, which work closely together with clients to identify business opportunities and create new business value through improved data handling and analysis.
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Drive strategic product communications, owns customer engagement and identify customer requirements by considering data, customer feedback, and user research, and designs product value propositions for large tech and cross-functional audiences.
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Design and develop custom applications, data feeds, and workflows on the RSA Archer GRC (Governance, Risk, and Compliance) platform. Experience in developing data feeds, reports, and dashboards in RSA Archer.
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ABOUT OUR FULLY PAID TRAINING PROGRAMOur Entry-Level Investigator Training Program entails 2-3 months of on-the-job and virtual classroom training where we teach you everything you need to know to work as a private investigator and conduct covert surveillance.
$18 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of structured products and/or risk management in a fixed-income environmentExperience with integrating data/memory-intensive processes into a cloud-based environmentis Why is This a Great Opportunity: Working for a profitable Asset Manager in Midtown, Manhattan with a flat structure that's expanding.
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As a Power BI Developer, you will apply your intellectual curiosity and passion for problem solving to dig into our mammoth scale of data to help unleash the power of retail data analytics by imagining, developing, and maintaining Power BI Semantic Data Models that our Walmart data users can rely on.
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Design, develop, test, and debug backend services, embedded systems, data orchestration software, IoT device management tools, and customer-facing dashboards. Collaborate with peers in engineering, customer success, bizdev, and product to promote the seamless transition of data from bits to customer insights.
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Join one of the largest and most respected general contractors in the USA, renowned for delivering cutting-edge projects in the Data Center construction sector. We are looking for an experienced Superintendent specializing in Data Center construction to oversee and manage the execution of projects from inception to completion.
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Design Data Lake and load the data to Data Lake using ETL and PYSPARK-Work with AWS- EC2, VPC, EBS, Athena, Aurora, RDS, DMS, EMR, S3, Redshift. -Architect, Design and develop Data Governance platform using Informatica DG products Informatica EDC AXON, -Experience configuring Informatica Data Governance using EDC and Axon, including business glossaries, dashboards, policies, search, Axon Workflows.
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Demonstrates knowledge of automation & digitization in a professional services environment including but not limited to:- innovating through new and existing technologies, along with experimenting with digitization solutions;- working with large, complex data sets to build models and leverage data visualization tools to provide insights to clients;- utilizing digitization tools to reduce hours and optimize engagements.
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Knowledge of SQL and one or more big data warehouse technologies e.g. Snowflake, Databricks, Redshift. the creation of clear specifications framework, architectural plan covering systems, data and solutions architectures, acceptance criteria and success measures, instrumentation and Service Level capabilities, Quality tooling for test driven development and ongoing data quality testing in production, Measurement of data storage/query cost, Frame accessibility/usability tooling.
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Advanced knowledge of Excel and extensive experience with and proficiency in statistical computing software or data analytic environments (e.g., SAS, SPSS, Stata, SQL/NoSQL databases including ETL, Python, R, Tableau), including the ability to analyze large and complex datasets for patterns and trends, and build statistical models.
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data entry jobs Title: retail sales in New York, NY
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