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Qualifications and Skills IT professional experience in Azure Cloud with over 5+ years of Azure Development Ability to recreate existing legacy application logic and functionality into Azure Databricks/Data Lake, SQL Database and SQL Datawarehouse environment.
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Represent CDO Data Governance in multiple risk areas including Privacy, AI, Compliance, and Model Risk. Collaborate with partners to evolve RBC maturity in these areas and further define CDO role, responsibilities, and services in governance of these areas.
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Experienced in using Talend Data Fabric tools including Talend DI, Talend Bigdata, Talend MDM, Talend Data Quality, Data Governance, and Talend Data preparation, Enterprise services Bus, Talend Cloud, TAC and TMC.
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Proficiency in data analysis tools (, Python, R, or similar) Excellent analytical and problem-solving skills Comprehensive knowledge of at least one substantive area of compliance, such as banking regulations, anti-money laundering, or anti-corruption Added bonus if you have:Effectively communicates with all levels of technical and non-technical personnel.
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Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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Identifying , collecting, and exploring the right data used for predictive modeling and algorithm development, particularly related to offer ranking, product relevancy, and seller performance. Hands-on experience with Python, Java or Scala, and the ability to write reusable and efficient code to automate machine learning pipelines and data processes.
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Proficient with Data Warehousing solutions (e.g., Redshift, Snowflake, BigQuery, Lakehouse, Data Mesh, Medallion Architecture) Cerberus Technology Solutions (CTS) is a subsidiary of CCM focused exclusively on leveraging emerging technology, data, and advanced analytics to drive transformations.
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2 years of experience understanding genetic mutations and their impact on the biological functionality of proteins, experience with genetic medicines including gene-therapy, gene-editing, cell therapy, mRNA and RNA silencing experience with pharmacokinetic, pharmacodynamics data and safety data.
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About The RoleAs a Workday HR Data Analyst you will play a crucial role in analyzing and interpreting data to drive informed business decisions in a fast paced, growth oriented global organization.
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Requirements Expert understanding of the electrical and mechanical systems used in a data center environment, including, but not limited to the following: electrical distribution and layout, Transformers, PLC’s, Generators, Switchgear, UPS systems, STS’, ATS’ PDU’s, Chilled Water Systems, CRAC/CRAH’s, Pre-Action Sprinkler Systems Expert knowledge of fiber optics / cabling infrastructure and industry best practices.
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NET, SQL Server, AWS Data technologies (including Athena, Glue, PySpark, Scala, MySQL, PostgreSQL, and Airflow), and financial reconciliation. Strong knowledge of AWS data technologies including Athena, Glue, PySpark, Scala, MySQL, PostgreSQL, and Airflow.
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Snow Fox Data, a division of Excelion Partners, is the premier partner for data strategy, analytics, data science, and AI consulting. Whether your organization needs a better data strategy, improved KPIs, ad-hoc analytics, or a machine learning solution, we meet you where you are in your data journey and get you to where you need to go.
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Experience with cloud-based data platforms (AWS, Azure, Google Cloud) and analytics platforms (Snowflake, Redshift, BigQuery). Hands-on experience with data visualization tools (Tableau, Power BI) and statistical analysis tools (R, Python.
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Apache Kafka has quickly become the backbone of event driven architecture at Bloomberg and the main data bus for data distribution, live streaming, and general purpose messaging. We develop and integrate products into a simple, elegant user interface and provide a concise way for engineers to create data-store and middleware instances.
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Working closely with other technology eaders to design and develop enterprise-wide data strategy for data modeling, data pipelines, and data integrations across various environments and technology stacks Developing performant data movement pipelines using real-time event data streams (Apache Kafka, Azure Event Hub, AWS Kinesis, Azure Databricks etc.
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data job Company: Nationwide in New York, NY
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