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You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata.
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ETL tools Teradata, MS SQL Server, Data Transformation Services (DTS) Export/Import, SQL Server Integration Service (SSIS), ADF, DataStage, Azure Synapse. Required Skills: MS SQL Server MariaDB SolarWinds DPA Index Tuning E-R Diagramming Data Normalization Backup and Restore Clustered Databases Query Optimization MongoDB PostgreSQL Database Tools: SQL Server Management Studio, Azure Data Studio, SQL Profiler, SQL Prompt.
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You will be responsible for defining, managing, and mitigating risks for any dependency between data initiatives across Data Engineering, Product Analytics, Marketing Analytics, Content Analytics, Data Product Management, and Data Science.
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Experience of using one/more scalable (MPP) relational databases such as Teradata, Netezza, Redshift, Snowflake and SQL data warehouse for advanced analytics. Familiarity with data modeling and ETL tools such as Erwin, Talend, DataStage.
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We are seeking a highly organized and detail-oriented individual to join our team as a Data Entry Clerk focusing on digital asset management. The ideal candidate will be responsible for tagging, uploading, and cataloging data within our digital asset management system.
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Information Security Processes: Identity and access management, privileged access management, generic ID management, threat intelligence, vulnerability management, secure coding practices, data security and encryption, phishing, forensics, mobile security, third-party, etc.
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Work with the Database Architect to define data management, data governance, and data quality assurance requirements to manage the entire data processing life cycle. Analyze data to ensure it meets specific data management, data governance, and data quality assurance requirements before processing the data within the Data Lake and data warehouse.
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You must be passionate about data management with a solid background in AWS, Databricks, Python, Trino/Starburst, Databases and SQL.Design, develop, monitor, and maintain data pipelines in an AWS Gov Cloud ecosystem with AWS, Databricks, Delta Lake and Trino as the underlying platforms.
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Experience in Data Engineering or SQL Database Management. The Power BI Developer is responsible for developing data pipelines and reports that connect multiple API’s to provide insightful, actionable data.
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Consistently provides reliable data that can be used in budget formulation and financial management activities. This experience typically includes: monitoring occupant space utilization, energy and water conservation, sustainability and environmental hazards programs; coordinating alteration and renovation projects; gathering information to assess the level of customer satisfaction, i.e., surveys, interviews with tenant contacts, focus groups; monitoring real property budgetary and financial data; and, administration of repair and/or operation and maintenance contracts.
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Knowledge of Data Warehouse technology (Unix/Teradata/Ab Initio/Python/Spark/Snowflake/No SQL) Knowledge of Data Warehouse technology (Unix/Teradata/Ab Initio) Experience in building & utilizing tools and frameworks within the Big Data ecosystem including Kafka, Spark, and NoSQL.
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Information Technology Processes: asset management, change management, incident/problem management, patch management, Software Development Lifecycle (SDLC), release management, capacity/performance management, data/records management and destruction, backup and recovery, etc.
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Provide transaction monitoring and customer risk rating system support to the BSA/AML and Fraud Operations team and management. You will be responsible for the oversight of the bank’s BSA/AML/OFAC and Fraud prevention and monitoring systems and applications ensuring they perform as designed, including the accurate import of customer and transaction data.
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Senior Data Management Professional - Data Engineering - Dialogue Labeling And Annotation Management
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A Senior Data Management Professional is a key role within our organization responsible for optimizing our data for clients and improving our data operations. Senior Data Management Professional - Data Engineering - Dialogue Labeling and Annotation Management.
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Our consultants work closely with our clients’ Compliance and Legal leadership teams, leading cross-functional initiatives around Compliance (e.g., AML, KYC, Sanctions), Data Privacy (e.g., GDPR, CCPA, LGPD), Legal Operations and Process and high-stakes projects.
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teradata data management jobs in Queens, NY
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