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Chick-fil-A is in the process of enhancing its data infrastructure, processes, data governance and management with a goal to care for our customers personally. Chick-fil-A is looking for a Lead Data Engineer that will serve as the leader to a strong team of data engineers responsible for the data development, management and support of Chick-fil-A's Customer 360 data systems.
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You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
$165,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow. 5+ years in data engineering with detailed knowledge of data warehouse technical architectures , infrastructure components , ETL ELT.
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Extensive knowledge of data management and analysis tools including Databricks, Snowflake, Domo, and Tableau (Teradata and Cognos a plus; Splunk, Kibana, DataDog, New Relic, or other monitoring tools an huge plus.
$147,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Advanced proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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Recent experience with HHS data to include the Food and Drug Administration (FDA) and the Center for Disease Control and Prevention (CDC) environment and standards. Knowledge of infectious disease or chronic disease epidemiologist and relevant experience conducting public health surveillance, and/or utilizing electronic clinical and lab data to conduct surveillance efforts with public health agencies.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Deep experience working in one or more cloud data warehouses (i.e. Snowflake, Redshift, BigQuery, Azure). Supported analytical reporting and/or data visualization tools such as Power BI, Tableau, Quicksight, or Looker.
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Responsible for data engineering activities and aiding in building the business' information systems, data governance, data management, data integration and data warehouse for key business areas including but not limited to Manufacturing, Engineering, Spare Parts and Supply Chain.
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The Optical Engineer will ensure the seamless operation of our data center facilities, providing top-notch customer service and technical support. We are seeking a highly motivated and skilled Data Center Optical Engineer to join our team.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Strong computer literacy and proficiency in data manipulation using Analytics tools/platform like Databricks, Azure Fabric using Spark engine and reporting tools like Power BI. 5+ years of experience in Data engineering discipline implementing data lake, data warehouse, and Reporting & Analytics development (preferably on Azure) using Tools like Power BI or similar tool.
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Experience designing Data Warehouse/Data Lake, Cloud Based Technologies (AWS - Data Migration Service, Glue, S3, EC2, Lambda, Step Functions, Document DB, RedShift / Spectrum) Lead the design, development, and deployment of ML pipelines and data solutions in cloud environments such as AWS, Microsoft Azure, and Google Cloud Platform (GCP), with a focus on AWS.
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In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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Expert knowledge in scalable and secure data processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services. Designing and implementing scalable and secure data processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services.
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Experience as an incident manager, commander, or leader.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Understanding of Master data management, data visualization and story building, data science and machine learning is highly preferred. The Data and Analytics Director is accountable for the strategic governance and management of the North America Data and Analytics team.
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Title: data Company: Unspecified in Atlanta, GA
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