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As a cloud engineer for Azure, you will be responsible for designing and implementing scalable, high-performance data engineering solutions using Azure Databricks and Azure Data Factory.
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Design and build production data engineering solutions to deliver pipeline patterns using Google Cloud Platform (GCP) services: BigQuery, DataFlow, Pub/Sub, BigTable, Data Fusion, DataProc, Cloud Composer, Cloud SQL, Compute Engine, Cloud Functions, and App Engine.
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Role: Senior Data Analyst-SQL. Data prep, ability to connect data across different sources to solve a problem. Data warehousing concepts. Ability to reverse engineer from Qlik sense, Alteryx, JCL's, Cobol code etc.
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BA / BS or advanced degree in Statistics, Mathematics, Data Science, Econometrics or Computer Science, Analytics, Finance, etc. Deliverables include (but are not limited to) sales and business performance reporting, campaign and marketing program analytics, dealer and customer analytics as well as dashboard development or other data visualization to assist with business consumption of insights.
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The primary focus involves the migration of data landing and transformation jobs from Hadoop to Airflow (Astronomer) and BigQuery. The Data Software Engineer position will involve design, implementation, testing and launch of new applications for loading dealer data and generating analytical insights.
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Ability to understand how to ingest large data sets from a variety of sources (SQL, Python, Java, Alteryx, Qlik Sense, etc.) Ford ICE, Propulsion and Thermal Systems Engineering (IPTSE) Quality Team is looking for a Data Analytics Specialist to support our team by analyzing and interpreting warranty and connected vehicle data indicators to focus the team on emerging issues and key insights.
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Microbiologist (Data Scientist) & Microbiologist (Informatics): Grades GS-07 through GS-15. Consulting and collaborating with statistical, data science, artificial intelligence (e.g., machine learning), and public health professionals in the collection, linkage, processing, coding, classification, mining and analysis of public health surveillance, research, and administrative health data.
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Experience with data modeling, ETL/ELT development, data integration and orchestration techniques Experience with designing and developing end-to-end data and analytics solutions leveraging Azure Data Lake, Azure Databricks, and Data Factory Nice to Have: Experience with designing scalable data analytics architecture to implement advanced analytics solutions, including machine learning and AI, to extract actionable insights from data.
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Design and build production data engineering solutions to deliver our pipeline patterns using Google Cloud Platform (GCP) services: o BigQuery, DataFlow (Apache Beam), Pub/Sub, BigTable, Data Fusion, DataProc, Cloud Composer (Apache Airflow), Cloud SQL, Compute Engine, Cloud Functions, and App Engine.
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2+ years of experience with one or more of the following tools: Data Gathering & Analysis skills/tools (e.g. SAS, Python, SQL, BigQuery, Vertex AI, Business Objects, Alteryx, etc.) Strong data visualization skills using Qlik Sense.
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Remote Work From Home Data Entry Clerk for Entry Level Position Work at home position for job seekers from virtually any work background who are interested in part-time, side gigs, micro jobs, work from home jobs and remote telecommute jobs.
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Integration between GCP Data Catalog and Informatica EDC. Design and build production data engineering solutions to deliver pipeline patterns using Google Cloud Platform (GCP) services: BigQuery, DataFlow, Pub/Sub, BigTable, Data Fusion, DataProc, Cloud Composer, Cloud SQL, Compute Engine, Cloud Functions, and App Engine.
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Miracle Software Systems is currently in search of a skilled "Data Engineer" possessing extensive expertise in GCP, BigQuery,Terraform, Python. GCP Cloud data implementation projects experience (Dataflow, AirFlow, BigQuery, Cloud Storage, Cloud Build, Cloud Run, etc.
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Working knowledge in Data Management tools such as Collibra DQ, Alation, Tosca or others. 5+ years of experience in data engineering/data transformation. The Senior Data Engineer will be a part of the Enterprise Data & Analytics team.
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Investment Data Platform within FIS Capital Markets is aimed at providing a simplified data experience for our clients by providing a platform to aggregate investment data (data warehouse), visualize reports and analytics, participate in data marketplace (data marts), all while governing and orchestrating data with leading edge tools.
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Title: data Company: Marketbridge in Detroit, MI
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