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Experience may be gained concurrently and must include one (1) year in each of the following:-Building statistical models and machine learning models using large datasets from multiple resources-Working with Customer, Content, or Product data modeling and extraction-Using database technologies such as SQL or ETL-Applying specialized modelling software including Python, R, SAS, MATLAB, or Stata.
$178,400 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Migrate data from traditional relational database systems, file systems, NAS shares to AWS relational databases such as Amazon RDS, Aurora, and Redshift. Migrate data from APIs to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and Redshift.
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Hands on development experience with: Python, Spark, SQL, Cloud-based ETL tools, Azure Data Factory/Databricks and Snowflake. Keywords : Python, Spark, SQL, ETL, Azure Data Factory/Databricks, Snowflake.
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Data Conversion and Integration Experience: Demonstrated experience with Oracle HCM Cloud data conversions and integration tools, including Oracle Integration Cloud (OIC), BI Publisher, HCM Extracts, HDL (HCM Data Loader), UCM, and managed file transfer (MFT) tools.
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Data Loader Management: Prepare and manage HDL (HCM Data Loader) for data conversions, ensuring accuracy and efficiency in data migration to Oracle HCM Cloud. This includes driving HR technology implementations through technical process designs, solution architecture, data conversion, integrations, report development, process playback, user acceptance testing, cutover, and production launch.
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Developer experience in big data or warehouse (Hadoop, DB2 LUW) environment. Securing data using IAM and Active Directory. AWS Data Engineer. 3-5 years’ experience developing and deploying data pipeline in cloud.
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Support data governance initiatives by ensuring data quality, metadata management, and data cataloging within the data marketplace. Strong understanding of data management, data governance, and data integration concepts.
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Experience with data integration, ETL processes, and real-time data streaming. Knowledge of data governance and data privacy regulations. Experience with other Informatica tools and platforms (e.g., Informatica PowerCenter, Informatica Cloud Data Integration) is a plus.
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Utilize traffic engineering software and tools (e.g., Synchro, VISSIM) to support data analysis and reporting tasks. Analyze traffic data, including traffic counts, flow patterns, and collision data, to support the development of traffic reports and recommendations.
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Technical Skills: Proficiency in data analysis tools (e.g., SQL, Excel, MS Query), data visualization software (e.g., Crystal Reports, Tableau, Power BI), and statistical analysis. Experience: 2+ years of experience in data analysis, preferably within a logistics or business context; it can be partially substituted with relevant Logistics experience related to manufacturing, retail, inventory, and wholesale.
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Experience with Big Data technologies like Apache Hadoop, HBase, Spark, Hive, and Snowflake. Experience working with UI toolsets & programming languages: Core JavaScript, Angular 11 or higher, React/JavaScript frameworks, CSS, HTML, Node.js, JSON, etc.
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Our direct client is seeking an AWS Data Engineer for a 12-month contract opportunity with their Newark, NJ location. AWS Cloud Practitioner certification, or other AWS certification is a plus.
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Perform or provide oversight to staff for all CDM activities from study startup to archival: design CRFs/eCRFs, create Data Validation Specifications, Data Management Plans, eCRF Completion Guidelines, and Data Review Plans, code terms in MedDRA and WHO Drug; and complete data base lock, archival, and closeout activities.
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Senior Data Engineering ETL Developer who will be responsible for designing and implementing robust ETL pipelines, integrating AWS services such as Redshift and S3, and developing telemetry dashboards that provide insightful analytics on developer activities.
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Ability to perform basic data queries and create executive summary data visualizations using SQL, Google Data Studio, Tableau, Alteryx, Qlik etc. Strong understanding of data analytics, operational auditing, and business processes.
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big data jobs Title: hadoop Company: At T in Summit, NJ
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