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Anyone of the following certifications in SSIS, SSRS and Azure (e.g., MS Azure Developer, MS Azure Engineer, MS SQL Server Reporting, MS Azure Data Fundamentals) or a willingness to complete the certifications in the first year of employment Upon Hire.
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Strong, hands-on experience as a technologist working with data warehouse solutions, cloud technology, relational databases and dashboarding tools such as Snowflake, Oracle, MySQL, Qlik, Tableau, SQL Server, etc.
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Huntington Bank is looking for a Lead QA Test Analyst in our Enterprise Data Warehouse. Minimum 5 years of ETL testing experience in data warehouse environment. As a Lead QA Test Analyst, you will work to develop test strategies and test plans for Data Warehouse projects ensuring all IT SDLC processes are documented and practiced, working closely with multiple technologies teams across the enterprise.
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Provide support for scalable Cloud data solutions using MPP Data Warehouses (Snowflake, Redshift, or Azure Data Warehouse/Synapse), data storage (S3 or Azure Blob Storage) and analytics platforms (i.e. Spark, Databricks, etc.
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Experience with data warehouse and big data technologies such as Azure Synapse Analytics, Azure Data Lake Storage, Spark, Kafka, Databricks, and Containers. Migrate on-premises databases and data warehouses to Azure services such as SQL Database, SQL Data Warehouse, etc.
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Data Warehouse Architect. Data exploration and data visualization tools such as Looker, Tableau. Responsible for articulating and driving aspects of our ecosystems real-time stream messaging data strategy.
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Specific experience with Data Warehouse/Data Lake configuration and development using Databricks platform. 1- 3-year minimum professional experience in cloud data engineering and science and associated technologies utilizing cloud data platforms such as Databricks, AWS RedShift, and Snowflake.
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Knowledge and awareness of data platforms and technologies like RPA, data warehouse, snowflake, Databases. Understanding of data platforms and visualization tools such as Amazon MSK, Elevate, Power BI, Tableau, Snowflake.
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Thorough understanding of data lake/warehouse architectures (BigQuery, Databricks, Redshift) In addition to architecting data models, we implement Analytics Engineering best practices around Data Governance, Data Quality, Data Orchestration and pipeline optimization.
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Utilizing analytics techniques (e.g. regression, correlation, cluster analysis, data quality, classification, data mining, machine learning, data visualization) to discover, confirm, & document associations, predictive models, & algorithms.
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The Contact Center Manager Data Engineering will report to the Contact Center Platforms Application Development Manager and have aligned data and software engineer direct reports. Collaborate with Business and Analytics leaders as well as the CIO organization to develop a Contact Center data strategy and roadmap, in partnership with EDS and Architects, for evolving from the current-state data ecosystem on-premises to a target-state data ecosystem leveraging cloud-native technologies.
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Advanced level proficiency with at least one ETL / Data Orchestration technology (Azure Data Factory, SSIS, Informatica, Alteryx, Ab Initio, Pentaho, Talend, Matillion) Experience cloud-based data warehousing and data lake solutions like Snowflake, Redshift, Databricks.
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Expertise with SQL, database design/structure and data structure (star, snowflake schemas, de/normalized designs) Fundamental understanding of big data, open source, and data streaming concepts.
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Familiarity with data integration techniques, ETL frameworks (e.g., Apache Spark), and workflow management tools (e.g., Airflow). Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) and associated services (e.g., S3, Redshift, BigQuery.
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The candidate will assist and lead efforts to build data extractions from the Information Warehouse, develop registries, and design RedCAP data collection instruments. Basic software development skills on a data management and analytic software of the candidates choice (e.g., SAS, R, Python, SQL, Stata.
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data warehouse ssis jobs in Columbus, OH
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