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3+ years of experience developing big data technologies with Spark and Hive, preferably leveraging such as DataBricks, Juypter notebooks, or GCP, AWS, and Azure equivalent technology. Expertise with databases experience such as BigQuery, Snowflake, and Synapse designing schema and dimensional data modeling.
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This role will serve as the Master Data Analyst for several business units who are internal customers of the SSC and will engage with Business Units to drive continuous improvement, adoption of processes and standards in alignment with corporate policies.
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As Data Governance Implementation Analyst (Finance) - you will support Data Governance Implementation Lead in implementing a robust Data Governance Operating Model for Finance processes and reports and drive data quality throughout BNY Mellon via compliance to Data Management Policy and standards.
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Knowledge in data quality assessment and data lineage tracking. Responsible for data integration, data management solutions, and data quality, particularly in the areas of research & development, product quality management, and sustainability.
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Experience in data governance fields as lineage, quality, catalog etc. You will have an opportunity to work in roles such as Cloud Data Engineer, Data Modeler or Data Architect covering all aspects of Data including Data Management, Data Governance and Data Migration.
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PostgreSQL, MySQL, SQL Server, Azure data factory, Azure Synapse, Logic apps, Fabric, ADLS(Azure Data Lake Storage), Azure Databricks, Azure Cosmos DB has context menu. utomate data processing workflows using Databricks, Azure Functions, or Logic Apps for real-time and batch data integration.
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3+ years of developing and maintaining the data modeling and reporting ecosystem, ensuring service level agreements and data quality. Prior experience working with data visualization tools such as Tableau or Power BI.
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While overseeing data collection, storage, and quality assurance processes to ensure data accuracy, reliability, and security. Democratize access to highly curated and good quality data products, scaling data usage across BI/Analytics team, marketing and digital commerce teams, and senior executives.
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Data related imperatives like quality, privacy, security, localization. Support our clients in developing and/or maintaining data quality standards and data quality performance indicators.
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The DW/BI developer should be proficient with Azure DevOps and Agile programming methodologies, able to quickly gain an understanding of new and existing data feeds, define and document requirements for data extraction and integration of data from various data sources, and possess a strong understanding of Power BI and BI reporting.
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Expertise in two or more data estate workloads like Microsoft’s Data & AI Platform (Azure Synapse Analytics, Azure Databricks, CosmosDB, Azure SQL, HDInsight, etc.) Certifications with Azure Data Engineer, Azure AI Engineer or equivalent industry certifications.
$161,700 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The Director of Data Engineering will also partner with the broader OAS Analytics organization to harness the power of client data to facilitate analytical insight and will be responsible for building quality and efficiency into every project.
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Advanced Data Warehouse & NoSQL Integration :Lead the design and optimization of large-scale data warehouse and data lake solutions, including platforms like Databricks and Snowflake.
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Data Visualization: Create dynamic dashboards and visualizations to communicate omni-channel marketing performance, trends, and insights to stakeholders across the organization. We are seeking a Senior Marketing Data Analyst to join our team and lead data-driven decision-making in our omni-channel marketing initiatives.
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Expertise in two or more data estate workloads like Teradata, Oracle Exadata, Synapse, Cloudera/Hortonworks, Apache Spark, Snowflake, AWS (Redshift, Glue), Google (BigQuery), etc. Experience with orchestration and administration of enterprise data warehouse/data lake and data application environments (e.g., Synapse, PowerBI, Databricks, and Tableau etc.
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data job Title: quality data in Pittsburgh, PA
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