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Managing the Data Pipelines maintained in Azure Synapse, Databricks to ensure the data set is properly ingested into the data warehouse. The Power BI Developer is responsible for developing data pipelines and reports that connect multiple API’s to provide insightful, actionable data.
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In-depth knowledge of Spark, Kafka, Streaming Systems, AWS, and Cloud Data Warehouse like Trino/Snowflake and Docker/Kubernetes. Own data integrity and consistency of our Data lake and Data warehouse.
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Cloud Lake and Warehouse - Snowflake, S3 Data Lake, other comparable technologies. ETL/Data integration/Streaming - Talend, DataBricks, Python, Spark, Kafka. Be an expert and drive architecture in one or more areas of data storage (Data Lakes and Warehouses), data integration, Business Intelligence and analytics.
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Create a partnership with Data Engineering. Keep up with marketing trends in the Data & Analytics area and identify new opportunities of technologies & solutions; you will be part of the team driving the technology selection and partner with an engineering team to conduct proof of technologies.
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Able to Develop EL pipelines in and out of data warehouse using combination of Databricks, Python and SnowSQL. Sr. Snowflake Data Warehouse Specialist. Able to provide architecture, design, implementation and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.
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This individual will be responsible for defining high volume data processing pipelines in a multi-tenant environment, verifying data integrity and curating data for consumption by data warehouse, third-party data analytics tools and machine learning models.
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This Engineer will have a strong Microsoft and Azure data background, defining high volume data processing pipelines in a multi-tenant environment, verifying data integrity and curating data for consumption by data warehouse, third-party data analytics tools and machine learning models.
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The successful candidate will help determine data and analytical requirements by analyzing client operations and applications; reviewing objectives, key business metrics and enterprise reporting requirements with clients; evaluating current systems, and helping define the architecture/ETL strategies for moving data from heterogeneous source systems to a data warehouse and making that data accessible through various reporting applications (e.g., Power BI.
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Hands on experience in Teradata/Cloudera and/or other Data Warehouse platforms. ➢ MS Azure: Security Centre, Azure Active Directory (Core, Developer, B2C, Services), Key Vault, understanding of securing PaaS solutions like SQL data warehouse.
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Requirements 4+ years of software engineering experience Strong Python skills Strong data operations mindset and opinions on next-generation warehouse tools Strong written and verbal communication skills Experience with building production grade applications using Python Experience with data warehouse platforms (e.g. Amazon Redshift, Google BigQuery, Snowflake.
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Hands-on experience with Azure data services including Azure Data Factory, Azure Databricks, and Azure Synapse Analytics (formerly SQL Data Warehouse). Lead the migration of data from Azure Synapse to Databricks, ensuring data integrity, performance, and scalability.
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You will be primarily developing Data Warehouse Solutions in BigQuery/Snowflake using technologies such as dbt, Airflow, Terraform. Design, build, and maintain ELT pipelines in Enterprise Data Warehouse to ensure reliable business reporting.
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Telecommunications / Trades / Transportation / Warehouse / Waste Management / Water Agency / Vehicle Maintenance / Urban Forestry / Wastewater / Transit / Visitor and Convention Bureau / Utilities / Training / Veteran Services / Higher Education / Technical Education / Translation / Instructor / Faculty - Math & Technology.
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JOB DUTIES: Sr. Engineer, Business Intelligence for Neiman Marcus Group LLC at its facilities in Dallas, TX. Perform Adhoc data analysis directly on Neiman's Snowflake data warehouse using advanced SQL and using NMG Business Intelligence tools including Business Objects, Qlik Sense & Tableau.
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