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Experience with Delta Lake and Databricks SQL for advanced data management. This role is crucial in overseeing user administration, managing Azure storage solutions, and implementing CI/CD pipelines using Azure DevOps. By leveraging a deep understanding of Databricks architecture and proficiency in scripting languages, the administrator will automate tasks and enhance the efficiency of data operations.
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Provide technical excellence to apply state-of-the-art machine learning / artificial intelligence utilizing technologies such as Spark, R, Hadoop, Scala, SQL to real world infrastructure business problems.
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ETL tools Teradata, MS SQL Server, Data Transformation Services, Oracle SQL Developer, SQL Server Integration Service (SSIS), ADF, DataStage, Azure Synapse. Reporting tools SQL Server Reporting Services (SSRS), Power BI Additional Databases: Azure SQL Database, SQL Server Analysis Service (SSAS), EDW, EDL DevOps, Azure Blob, Azure Data Lake, Synapse, AWS, S3, GCP, Azure Functions.
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Required minimum of five years experience in designing, installing, and supporting Microsoft Active Directory infrastructure and Windows services, data networks, rack server hardware, data backups, and virtualization.
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As a Senior Data Engineer, you will partner with talented architects, infrastructure engineers, machine learning engineers, data scientists and data analysts to improve may different products and services.
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Requires proven track record in strong data base skills working on Oracle/SQL Server/Exadata, performance tuning, ETL processes, Windows, and Linux environments. Experience in multiple database platforms is preferred: SQL Server, Oracle, Exadata, Big data.
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Qualifications and Skills IT professional experience in Azure Cloud with over 5+ years of Azure Development Ability to recreate existing legacy application logic and functionality into Azure Databricks/Data Lake, SQL Database and SQL Datawarehouse environment.
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Our data pipelines are written in Airflow and Scala Spark. Our main server languages are TypeScript and Rust. We say Multi-Stack because "Full-Stack" has the connotation of "Frontend and Backend", but Radar Engineers might also work on Mobile or Data engineering.
$275,000 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Data Engineer. As a Capital One Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Experience using relational databases (e.g. MS SQL Server, MS Access, or Oracle) and data visualization tools (e.g. Spotfire, jReview) Serve as Clinical Data Scientist and Trial Lead for one or more clinical trials assuming responsibility for all CDS activities including selection and application of data acquisition standards, Data Management Plan, selection of quality risk indicators, third party study data due diligence.
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Also, if you have been involved in accounting, clerical jobs, marketing, management, security, or data entry jobs, you may be a good fit for a fully remote paid Product Tester Position. If you are a manager, receptionist, warehouse or factory worker, driver, medical assistant, nurse, cleaner, college student, messenger, maid, teacher, retail associate, salesperson, secretary, server, janitor, cashier, contract worker, or intern who is looking for a flexible part-time or seasonal job, you should try paid Product Testing to supplement your income.
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Experience may be gained concurrently and must include one (1) year in each of the following:-Building statistical models and machine learning models using large datasets from multiple resources-Working with Customer, Content, or Product data modeling and extraction-Using database technologies such as SQL or ETL-Applying specialized modelling software including Python, R, SAS, MATLAB, or Stata.
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Job Title: Data Governance and Data Quality Engineer (Collibra) Build robust data integration services using Java Spring Boot API and Azure cloud services and manage Collibra platform deployments and upgrades on cloud VMs.
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Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform. 15+ Years of IT experience, with 10+ years of experience as a Data Architect, data engineer or other data professional.
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Job Summary: The Data Engineer II will help us in the ongoing mission of delivering outstanding services to our users allowing Disney Entertainment to be more data-driven. ResponsibilitiesYou will assist with on-call rotations as a Live-Ops Incident Commander to help categorize and track real time data incidents, loop in engineering resources as needed to ensure a timely resolution to data issues.
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sql server data engineer remote jobs Title: data engineer Company: Dice in New York, NY
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