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Deep domain experience with financial datasets including FactSet, Bloomberg, IBES, CompStat, S&P Global, Worldscope, Morningstar, MSCI, Reuters, IDC, Markit, BARRA, Axioma, Northfield, and PORT A proven track record of working with complex data environments and associated technology and analytics infrastructure needed to support these environments.
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Driving Results: Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python and/or Node.js, SQL (using dbt for transformation), commercial SaaS and OSS offerings, and AWS ‘big data’ technologies.
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This entails designing and implementing a sophisticated data governance framework spanning across capabilities and tools such as data quality checks, defining/tracking KPI’s, data lineage and data structure and organization (e.g. organized data hierarchies, well-maintained data dictionary and report catalogue, as well as data and report certification.
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Circle is a financial technology company at the epicenter of the emerging internet of money, where value can finally travel like other digital data - globally, nearly instantly and less expensively than legacy settlement systems.
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This position performs data maintenance for Provider Data Management System and supports various functions within the WI Medicaid Market for all lines of business (Medicare DSNP, Medicaid, and Long term Care), including but not necessarily limited to supporting Provider Network Development and Credentialing.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Data Engineering - Databricks - ETL / ELT - PySpark, spark SQL. Experience with RDBMS platforms (One/Many of MSSQL, Oracle, Postgres, etc.) Data Engineering - Databricks - PySpark. Cloud deployments - writing CI/CI pipelines, terraform a big plus (or platform-specific cloud IAC w/willingness to learn Terraform.
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They are a key contributor to data quality and data governance efforts, and a trusted collaborator across departments with the aim of instilling a culture of effective use of Salesforce within the entire organization to advance NNAF’s mission.
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Utilize GCP services such as BigQuery, Google Cloud Storage, Dataflow, and data processing and storage. Automate data workflows and processes using orchestration tools like Apache Airflow and DBT.
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In-depth knowledge and experience working with common regulatory framework applications related to data security, including HIPAA, HITRUST, - General Data Protection Regulation (GDPR), National Institute of Standards & Technology (NIST) standards, Payment Card Industry Data Security Standard (PCI), and similar constructs are highly desired.
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Assist with testing and data validation activities involving PwC, DSC, RJW, Celigo, and Orderful. Proven ability to manage testing and data validation processes with multiple stakeholders, including PwC, DSC, RJW, Celigo, and Orderful.
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Vendor certification (Azure Data Engineering, PowerBI certifications, Snowflake Certifications.) Utilize experience on various BI and data tools like PowerBI, Azure Data Engineering methodologies (ASQL, ADF, ADL, Logicapp, etc.
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Python Proficiency : Expertise in building data ingestion tools using Python, including web scraping and external APIs, and proficient in Python data science packages (numpy, pandas, scikit-learn, nltk, TensorFlow, matplotlib, etc.
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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. Minimum 2 years of experience with large-scale data processing platforms such as Spark, EMR, and/or HPC computing, e.g. Apache Aurora, Slurm.
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Hands-on development experience with Design and Architecture of big data frameworks/tools: Azure Data Lake, Snowflake, Azure Data Bricks. Expert in Azure cloud computing, specializing in Azure data engineering stacks like ADF (Azure Data Factory), ADLS, Event Hubs, Snowflake, Databricks, streaming, Azure PowerShell, and Log Analytics.
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big data jobs Title: travel nurse in Boston, WA, Ohio
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