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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 2+ years of data warehousing experience (Redshift or Snowflake.
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Data security, Network security, Application Security, Cloud Security) is a plus. and scripting language (Python, bash, PowerShell) Proficient in developing full-stack applications and rapidly prototyping solutions to support automated data collection, aggregation, and analysis.
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Experience with Extract/Transform/Load (ETL) or Extract/Load/Transform (ELT) tools, including both batch and real-time data transmission applications such as SSIS, Informatica, Kafka, Spark, MuleSoft, or equivalent software.
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Experience with Data Center construction oversight strongly preferred. The Data Center Operations Manager is responsible for ensuring optimal performance of data center and facility environments, systems and personnel, as well as, the daily over-site and guidance for administrative and maintenance functions.
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Support data and automation needs of the Funding, Portfolio, ALM, Liquidity and Capital teams for reporting to ALCO, ERRC, Board, regulators, IR, Accounting, etc. Developing data analyses, data collection systems and other strategies that support effective internal reporting, such as: Liquidity Risk - Data needs around liqudity stress testing, key risk indicators, and various other analysis; Capital Management - stress testing, capital forecasting and sensitivity analysis ; ALM - behavioiral modeling, including deposit betas, deposit lives, balance sheet sensitivity.
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Duties include: Collaborating with various teams, stakeholders, and architects at the company to develop high-performance, maintainable, and scalable data products using big data technologies like Hadoop, SQL Data Warehouse, EMR, Spark, DataBricks, Snowflake, and Azure Synapse, while also developing interface apps and connectors for integrations with different systems.
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Experience with Hadoop, Java Spark, AWS S3, Athena, Glue Data catalog, Terraform. Experience with Hadoop, Java Spark, AWS S3, Athena, Glue Data catalog, Terraform. Exposure to Databricks. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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The Data Modeler must be highly experienced with business processes, robotic process automation, data visualization design, IT data analytics architecture, and deployment scale methodologies across multiple cloud technologies and integrations of necessary risk controls.
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As a Principal MDM Engineer, you will play a pivotal role in designing, implementing, and optimizing our Master Data Management (MDM) solutions, ensuring data integrity, consistency, and accessibility across the organization.
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Solid understanding of various Data Management and Data Pipeline tools available in AWS.Working knowledge with primary AWS Services like S3, Lambda, Batch, Glue, Athena, EC2, EBS, CloudWatch, CloudTrail, ECS, ECR, EMR, IAM, SNS etc.
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We are looking for a Senior Data Steward Manager to join our team. 6+ years of experience working in Data Governance or Data Management experience within a global CPG (Consumer Packaged Good) company or similar industry, general understanding of data governance concepts and processes.
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Data entry clerks come from all different backgrounds including, data entry, telemarketing, customer service, sales, clerical, secretary, administrative assistant, warehouse, inventory, receptionist, call center, part-time, retail fields & more.
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As a Senior Quantitative Analyst in our Data and Analytics team, you will be part of our journey of transitioning our data development, analytics, and reporting processes to modern architecture and delivery solutions backed by big data technologies, tools, and cloud computing.
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Experience in Azure data analytics technologies including Azure Data Factory, Azure Data Lake, Azure Databricks, Microsoft Purview and Power BI. + Develop cloud data services provisioning automation with integrated capabilities of IAM, network, security policies as code, and observability.
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Additionally, the candidate will closely work with the team's Transformation Specialist and Chief Data Steward, serving as an apprentice to both roles. Experience using modern data and collaborative tools (Tableau, Power Query, Slack, Confluence.
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Title: data in Allen, TX
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