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Knowledge of data engineering tools and practices, including ETL processes, data warehousing, and real-time data processing. Security and Compliance: Ensure all solutions adhere to security policies, data governance, and regulatory requirements.
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The Lead QA Analyst is responsible for testing BI Data solutions and enterprise semantic model, while coordinating the development of these requirements with the Data engineering team.
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The Cloud Cyber Security Analyst (Data Protection/DevOps) is responsible for providing services in support of data protection controls as part of the data protection monitoring services component of Elevance Health’s various programs that operate both on premises and in various cloud platforms.
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Assist the team that will document, maintain, and tune AML transaction monitoring rules, sanctions screening systems, and risk scoring models as well as detailing data lineage and model/rule assumptions and parameters for all models.
$145,000 - $192,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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At least two (2) years of experience with Databricks - Expertise in designing and deploying data applications on cloud solutions, such as Azure or AWS - Comprehensive understanding of data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching.
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At least 10 years of experience in leading, designing, and developing data lake and data integration architectures, using FAIR data set and prior experience in managing end-to-end engagements in BI using Qlik Sense and Data Science languages like R and Python; should possess knowledge of Cloud platforms like AWS suite, modern data storage layer like Snowflake, dbt, FiveTran and cloud data management applications like Immuta, Collibra and Reltio/ Veeva Network.
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Databricks Certified Data Engineer Associate. Supports in designing and implementing data extraction, transformation, and loading processes for Maximo data conversion; Identifies relational databases, preferably experience in working with databases commonly used in Maximo, such as IBM DB2, Oracle, Microsoft SQL Server, along with familiarity with Maximo's Integration Framework (MIF) and its capabilities for data integration and conversion.
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Facilitate Peer: Peer school visits and observations Liaise with leaders across all departments, especially those within social-emotional learning, behavioral health, student belonging and wellbeing Update and maintain foundational MTSS documents and guidance Build and maintain internal data systems, including occasional data entry, and MTSS resources website.
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We are seeking a rock star Senior Data Scientist to join our Risk Data team within the Ecosystem Fraud Team at Square. Create and maintain ETLs and data pipelines for continuous data integration and analysis.
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We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients. Our technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler for our business to deliver data and insights to our clients.
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Integrate Databricks with other systems and tools in the data ecosystem, such as data lakes, databases, and visualization tools. Lead the migration of existing legacy workspaces, schemas, and data to new Unity Catalog Environments.
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Prior experience integrating Snowflake and Databricks Prior experience building an investments data warehouse covering common data domains (clients, portfolios, funds, holdings, transactions, trades, securities/investments, ESG, analytics, performance, IBOR/ABOR/TBOR, benchmarks/indices) or with vended products that provide similar functions ( Eagle, State Street Alpha platform) Prior experience in data science/AI/BI tools.
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Minimum 4 years of experience with ETL/ELT design and development using tools like Talend, Informatica, AWS Glue, Oracle Data Integrator (ODI) or equivalent. Data Architecture experience with AWS Database / Data Warehouse / Data Platforms (Kinesis, Glue, Redshift, S3,) - They have no interest in folks with just Azure or GCP.
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RESEARCH COMPUTING APPS & DATA SPECIALIST III, Information Services & Technology, Research Computing
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Our mission is to provide best-in-class technology and data services to support outstanding education, groundbreaking research, effective administration, and a connected, secure community to Boston University, one of the largest private employers in Boston with almost 10,000 faculty and staff BU. IS&T invests in our staff and their personal and professional growth.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers.
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data job Title: analyst Company: Cielo Talent in Boston, Anoka, Minnesota
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