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We task them with growing CapTech talent and expanding data and analytics delivery capabilities. CapTech Data Architects match our clients’ business goals with available technologies when developing a strategy for a successful data delivery implementation.
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You will own the key metrics, develop data pipelines, ETL. You will also make a direct impact on Square's priorities and Banking initiatives (primarily SQ’s debit card) by building risk detection strategies, developing & tracking key success metrics, influencing partners through data and enabling growth of the business.
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The rolebrings in-depth technical, functional, and industry expertise to amplify business development, account management, and thought leadership within CapTech. Deep background with integrations and transformations of numerous types of data sources, and the solution delivery of real-time data distribution (e.g., Kafka, Kinesis, Flink), NoSQL (e.g., MongoDB, DynamoDB, Firebase), and warehousing platforms.
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Excellent data entry skills. PharMerica is the long-term care pharmacy services provider of choice for senior living communities, skilled nursing facilities, public health organizations and post-acute care organizations.
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Experience designing, building, and maintaining data processing and transformation pipelines (AWS Glue, Apache AirFlow, dbt, Snowflake) 6. Design and implement data movement and transformation pipelines (e.g. AWS Glue, Apache AirFlow, dbt, Snowflake.
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Big Data Architecture, Cloud Data Platforms Architecture (Azure, Databricks, Snowflake), In-house Big Data Platforms (Hadoop, Teradata, Exadata) This role provides you with a broad platform to build partnerships with business and risk counterparts, a vantage point to explore end-to-end data ecosystems and technologies, and ability to co-develop data solutions for GRM that drive the greatest value across the organization.
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As a Data Scientist Intern at IBM, you’ll help transform clients’ data into tangible business value by analyzing information, communicating outcomes, and collaborating on product development.
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The Risk Data Scientist will use analytical skills to identify and prevent fraud & credit risks. We are looking for a Data Scientist to join our Risk Data team. Have a chance to use machine learning tools to develop data-driven solutions.
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Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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Align with Other Data Management Disciplines: Engage with the Data Governance, Data Stewardship, Data Privacy, Master / Reference Data Management, Data Architecture, BI and Data Warehousing, Data Science, and other teams to ensure data quality and metadata management activity aligns with the other capability needs including the Global Data Governance Accountability Framework.
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You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata.
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Experience working with SQL DBMS systems (eg., SQL Server, Oracle, Redshift, Teradata)Experience in the data warehouse spaceSecurity, Stability, Reliability, Scalability, Fault Tolerance, Performance, Monitoring Compensation USA Compensation Range: $80,000 - $82,000 Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements.
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Strong knowledge of data architecture, data warehousing, business intelligence, data integration, data analysis, reporting, and/or machine learning. This position is remote but may require travel to corporate as neededBS in Computer Science, Applied Data Science Analytics, Business Administration, or equivalent with 5-7 years of experience.
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The Senior Data Engineer role will be responsible for developing and implement a range of analytics and automation solutions, including data extraction, analysis, reporting, and dashboard design, but could include more advanced analytics including statistical analysis, text mining & NLP, and modeling / machine learning / AI.
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EisnerAmper is looking to hire a Director to join its Risk & Compliance Services practice as a dedicated member of the IT Risk, Data Privacy & Security team, supporting National Security Advisory services.
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Title: data Company: Captech in Charlotte, Mililani-town, Hawaii
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