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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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Experience with data visualization tools such as Tableau, Power BI and/or AWS Quick Sight. Experience with machine learning, deep learning, data mining, and/or statistical analysis tools is a plus.
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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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Utilize AWS data services like Glue, Redshift, and Athena to build scalable data solutions. Data engineering skills, including data pipeline development, data modeling, and ETL processes and tools such as Informatica.
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You will have the opportunity to build and Lead the Data Engineering Global team sitting across North American, India GCC and European offices. Set up Dev Ops and CICD processes for data engineering.
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Hands on recent and relevant Data and Analytics architecture design, implementations (AWS, Azure), Snowflake, Event Streaming Platforms(kafka. Our Data Stack is built around heterogenous technologies and we use primarily AWS technologies with Snowflake tools within our ecosystem.
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Experience with data visualization tools (e.g., Tableau, Power BI) - Familiarity with data wrangling tools like KNIME, Alteryx, or similar platforms. - Understanding of data governance and data quality principles.
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Actuarial Science, Business Administration/Management, Commerce, Computer and Information Science, Computer Applications, Computer Engineering, Data Processing/Analytics/Science, Economics, Engineering, Engineering and Business, Electrical Engineering, Finance, Information Technology, Management Information Systems, Mathematics, Mechanical Engineering, Operations Management/Research, Risk Management, Software App, Statistics.
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Experience implementing, upgrading, migrating, and/or retiring data, analytics, or AI platforms, such as SAP HANA, IBM Cognos, SAP Business Objects, SAP Business Warehouse (BW), SQL Server Reporting Services (SSRS), Power BI, Tableau, Qlik, Grafana, Cloudera, Hortonworks, Databricks, AWS S3, AWS EMR, Apache Spark, Apache Hive, Presto, Dremio, Neo4j, and Domino.
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3-5 years of experience writing complex SQL queries, and working on Data warehouses, Data Lake or Databases such as Oracle, SQL Server, Teradata. 3-5 years of Data Analysis, Data Lineage, Data Quality experience.
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As a member of the team, you will deliver business solutions in the areas of CB Regulatory Reporting within the Commercial Lending Domain Authorized Provisioning Point (IHUB/WCDIR) as one of the firm’s strategic data sources.
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This role is responsible for the design and delivery of Workiva's Data Management Suite comprised of Wdata Tables/Queries/Views, Chains, Data Prep, Python scripting, and source system integration.
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Primary functions include monitoring existing and new business processes, risks, and controls, across the EDM (Enterprise Data Management) Data Lifecycles or GRM requirements to improve out-of-tolerance conditions; partner with stakeholders to perform QA assessments, identify and remediate gaps to ensure adherence to EDM/GRM Policies and Standards.
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Experience with Azure cloud services, Azure Data Factory, Gen 2, Azure Databases, Functions, Databricks, etc. This role will be part of the data strategy team spanning across the SMBC Capital Markets and Nikko securities teams, SMBC Americas Division's broker-dealer and swap-dealer entities.
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Hands on experience in building end to end data / orchestration pipelines using Python with products like Apache Beam (Cloud Dataflow), Apache Airflow (Cloud Composer) Cloud Experience- Should have experience with Google Cloud data products like BigQuery, DataFlow, Firestore, CloudSQL etc.
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Title: data scientist Company: Cottonwood Financial Administrative Services in Charlotte, NC
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