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3+ year(s) of experience participating in projects that focused on one or more of the following areas: Predictive Analytics Data Design Generative AI AI/ML ML Ops 3+ years of experience using Python.
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Direct experience with IT Asset Management (ITAM), Identity & Access Management (IAM), and/or Data Risk Management (Privacy Risk & Controls) Knowledge of process-focused methodologies for IT related activities (Cloud, Asset Procurement, Asset Maintenance, Asset Lifecycle, Technology Data Management Subject matter expert on technology risk management with complete understanding of IT control policies and industry-standard risk/control frameworks: ITIL, COSO, NIST, PCI-DSS, COBIT, etc.
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Lead multiple large and complex initiatives across Toyota Financial Services data engineering with a specific focus on data modeling, data architecture, and data tool & product development.
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Experience in SAP MDG mass processing, consolidation, data quality management, and central governance. The data management team works in tight collaboration with all work streams to ensure that data promoted to productive environment is of best quality and is maintained as per business requirements.
$105,200 - $400,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Knowledge of data modeling, data governance, and data quality best practices. Data Quality Assurance: Monitor data quality and perform data validation to ensure consistency, accuracy, and completeness of data across the data ecosystem.
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This position is responsible for supporting the Government’s professionals in all aspects of litigation support and e-discovery processes, including providing project management, Electronically Stored Information (ESI) intake, data analysis, early case assessment, document production, and liaising with third-party vendors.
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This includes data ingestion, data transformation, data validation/quality, data pipeline optimization, orchestration; and deploying code to production via CI/CD. The Data Engineer role requires knowledge of software development/programming methodologies, various data sources (Relational Databases, flat files (csv, delimited), APIs, XML, JSON, etc.
$105,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with Informatica MDM Customer 360 data model. Should be able to independently work with Informatica GCS for opening tickets, attend meetings and work on ticket resolution related to configuration and data fixes.
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Well-versed with SAP IBP Supply and Response planning with Master Data, Key Figures, Planning areas, Operators, Heuristics and Optimizer planning, etc. Experience in integrating other SAP and non-SAP tools to SAP IBP using CI-DS, CIF, RTI, and other interfaces.
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Job summary 5+ Years of IT experience in Big Data tool and technologies Experience with Big Data Tools like Cloudera/Hortonworks - Hive, Sqoop, Impala, AWS, Spark, Databricks Perform Data Analysis understanding the existing business requirements Build Data Mapping documents before coding with provided requirements Excellent knowledge in writing SQL queries for any given problem statement Programming knowledge in Scala, Java or Python (preferable Scala) Good understanding of Spark concepts.
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Proven working expertise with Big Data Technologies Spark, PySpark, hive, and SQL. Demonstrates expertise in writing complex, highly optimized queries across large data sets. Tech Skills - Scala, Spark, GCP, Dataproc, Hadoop, Airflow, SBT, Maven, Docker, Kubernetes, pyspark, Jenkins, Bigquery.
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Additionally, the Individual will be involved in DB2 related z/Os Database initiatives, including DB2 Database Universal Tablespace conversions, Image Copy Backup Remediation, Data replication, Db2 RACF support, Db2 Version 13 migration.
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Our mission is still the same today—at Texas Oncology, we use leading-edge technology and research to deliver high-quality, evidence-based cancer care to help our patients achieve “More breakthroughs.
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Support data collection efforts for wetland delineations and wetland functional/conditional assessments under applicable agency regulations. Familiarity with GPS data collection, a broad range of ecological communities, environmental regulatory compliance, and prior consulting experience is preferred.
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Familiarity with Google Analytics Suite and other products in the Google Marketing and Google Cloud Platforms (Tag Manager, Data Studio, Campaign Manager, BigQuery). Experience with interpreting data, formulating reports and making recommendations.
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data quality jobs Title: architect Company: Cognizant in Plano, TX
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