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Experience with more than one data cataloguing, data governance, data quality, data privacy and master data management (Informatica, Ataccama, Collibra, Alation, Global Ids, Big Id, etc.
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Micro-batch streaming and continuous streaming process in Databricks for high latency, low latency and ultra-low latency of data accordingly by using inbuilt Apache spark modules. Strong hands-on expertise in building Data engineering solutions using Java, Apache Spark and Scala.
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5 years of experience must include: Data analytics and statistical analysis of financial risk data; Policy and regulatory analysis; Data analytics tools including: R, Excel, and PL/SQL; Anti-Money Laundering (AML) and Know Your Client (KYC) guidelines; Oracle and relational databases; and User Acceptance Testing (UAT) and defect management.
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In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc. Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
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Promote modern approaches in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Large Language Models (LLMs) within the computational and data ecosystem to advance researcher productivity and scientific discovery.
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Day to day you’ll be building ETL pipelines, modeling data to feed analytical reports and data science models, designing data access tools, or building data models in Looker.
$152,000 - $205,500Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in data architecture, data governance, data modeling, data transformation (from converting data, to data cleansing, to building data structures) data lineage, data Integration, and master data management.
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Use data analytics and statistical analysis to develop and assess customer risk scoring methodology, monitor trending of risk distribution, and design testing scenarios to ensure that logics are implemented correctly in relevant Anti Money Laundering (AML) and Know Your Customer (KYC) applications.
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Minimum 7 years of designing and implementing an operational production grade large-scale data solution on Microsoft Azure Snowflake Data Warehouse. Strong understanding or Snowflake on Azure Architecture, design, implementation and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.
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Experience utilizing modern data infrastructure tools such as cloud data warehouses (Snowflake, BigQuery, etc), data integration tools (Fivetran, Airflow, etc), business intelligence tools (PowerBI, Sigma, etc), CRM systems (Salesforce, Everyaction, etc), and other enterprise data tools (such as Airtable) required.
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Experience in mathematics (statistics, linear algebra, differential calculus); data visualization (Tableau, Power BI, Qlikview); programming (SQL, Python, R, Java); data analysis (feature engineering, data wrangling, EDA) and machine learning (classification, regression, reinforcement learning, deep learning, clustering, dimensionality reduction.
$181,800 - $350,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with modern data engineering tools such as Talend, DBT, Databricks, Snowflake and data visualization tools such as PowerBI, Tableau, ThoughtSpot. Deep understanding and proven experience in Databricks, Azure Data Factory, Synapse.
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Data Flow, ETL, AWS GLUE, Athena Redshift, Some EKS, Databricks, Data Pipeline building. Expert-level professional hands-on experience in extensible data pipeline development using Databricks, Alteryx, AWS Glue and Lambda functions.
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The Technology and Data lead role is focused on Implementing coverage of Data / IT Compliance capabilities to drive data quality control obligations mandated by the Citi Data Governance Policy and Standard for safe and sound Model and End User Computing (EUC) landscape practices through a comprehensive first-line framework, and governance and controls activities, including the formulation of the strategy across the Model and EUC Lifecycle.
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As a Staff Engineer for our Data Platform team, you will be responsible for modernizing our data platform and practice. Build data governance solutions into every part of the platform.
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data job Title: mail clerk Company: Robert Half Office Team in Jersey City, NJ
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