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Knowledge of the following systems is a plus: Azure SQL Database Microsoft Power BI WCAG WordPress Wix Techsoup. Knowledge of data visualization and reporting tools (e.g., Power BI). Experience in management and administration with cloud-based database platforms, including expertise in SQL (e.g., MySQL, Azure SQL Database.
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Experience with the Azure Services and Data components: Container based solutions, Microservices, Streaming Solutions, Python & Spark Compute, Spark SQL, Azure Integration services, and ingestion tools such as ADF, Snowflake, ADL, and GenAI Cognitive capabilities.
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Owning core SQL and python data pipelines that power our data lake and data warehouse. We work with engineers, product managers, business intelligence, data analysts, and many other teams to build Plaid's data strategy and a data-first mindset.
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Skilled in data querying and programming with SQL and Python, working experience with automating data processing tasks with Python or Excel VBA. Proficient working experience in data collection (e.g., API, web scraping), data processing, data modeling, data integration (e.g., end-to-end ETL pipelines), and database / data warehouse management (e.g., with Databricks / Snowflake.
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Familiarity with database and SQL-based technology such as Oracle DB, PostgreSQL, and NoSQL stores a benefit, e.g. Cassandra, MongoDB, and data lakes such as Snowflake. Assist in building out the DevSecOps strategy for hosting and managing our microservice and connector infrastructure in the GCP cloud.
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Hands on experience with programming languages such as Python, SQL to create automated processes for data gathering, cleansing, reporting, and visualization. Experience with setting up a Data strategy and roadmap for modern data architecture and migration to Cloud platforms.
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ResponsibilitiesTECHNOLOY VISION/STRATEGY: In conjunction with the CIO, serve as the primary liaison to the Office of Research, Health Transformation Research Institute, and Biomedical Data Science Hub on institutional-level matters regarding technology and infrastructure, specifically including needs associated with clinical trials and clinical research.
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Minimum Experience: A minimum of ten (10) years experience with various BI and other analytics platforms with strong preference for EPIC EMR, SQL, ETL tools (SSIS, Informatica, Data Stage, Talend), Analytics tools (PowerBI, Qlik, Tableau), and project management.
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Hands on ability with tools, programming languages and cloud infrastructure for ETL – SQL, Trino Snowflake, AWS. Strong experience with data enablement including dimensional data models, ETL workflows and SQL queries leveraging a variety of big data technologies to support the analytics value chain across descriptive and predictive analytics.
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Experience with technologies, such as Azure Synapse, MS SSIS, ETL, DataBricks, Snowflake, Big Data tech stacks, RDMBS, NoSQL, SQL, Python or R. Oversee Data Management and Data Governance: build tactical aspects of executing on the strategy and drive a culture of governance to ensure that all lines of business take ownership in preserving data value, security, and integrity through enterprise wide process, deploying data quality framework, metadata management, data lineage, catalog, business glossary.
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We are looking for a Senior Data Scientist, to drive advertiser media strategy and performance through advanced statistical modeling and machine learning techniques. Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Proficient coding skills (Python/SQL), experience and knowledge with database structures and Microsoft Excel. The Senior Data Scientist will manage various measurement projects while mentoring junior data scientists on the team.
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Our client a leading asset management firm, located in New York City is looking to hire a SQL Data Analyst. Expertise in T-SQL and SQL Server Data Management Services (SSMS), SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS)Solid knowledge of T-SQL (SQL Server) which includes stored procedures, UDF's and query optimization.
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Proven experience in working on any one of the data engineering technologies, including but not limited to, ADLS, ADF, Azure Databricks, Azure SQL, and/or SAP HANA. Excellent understanding in Data Foundation initiatives, including Modelling, Data Quality Management, Data Governance, Data Maturity Assessments, and Data Strategy in support of the key business stakeholders.
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Experience with relational database program(s) (e.g., MS SQL Server, MS Access, MySQL, Oracle, Teradata) or statistical analysis programs (e.g., SAS, SPSS, Stata, R) is preferred. BRG's forensic accounting teams are adept at translating complex financial transactions and numerical data into terms that a layperson can understand and interpret in a legal setting.
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