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Databases: Oracle, MS SQL Server, Azure PostgreSQL, Denodo - SQL: design and develop complex SQL queries, stored procedures, views, or to tune existing ones for optimal performance - Programming: Python, R - Azure Cloud - Azure Databricks - ETL Tools: Azure Data Factory, IBM DataStage etc.
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Professional Certification such as Certified Analytics Professional (CAP), Databricks Data Engineer, Databricks Client Engineer, Azure Data Scientist Associate, DASCA's Senior or Principal Data Scientist Certification etc.
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Familiarity with a Modern Data Stack (I.e., ETL tools like dbt, Airflow, Fivetran, and cloud data warehouses like BigQuery, Snowflake, Azure, or Redshift). Reporting to the CFO, you will own the entire business intelligence function: you will be the expert on company data and use that knowledge to answer questions, provide insight, and improve the business.
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Expert in Cloud & Data Technology and the market trends within GCP, Azure, AWS, Data Bricks & Snowflake ecosystems. Skills Needed: Blend Between Technology Consulting & Engagement Management Within Data Solutions Ideally someone who comes from consulting background, no specific industry needed Someone not far removed from Modernized Data Environments & Tech This person is Not an Architect, Engineer or Delivery Manager, but most likely used to be pre leadership Not looking for an Account Manager, Business Development Director or Project Manager 15+ Years Of Exp Min.
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ESSENTIAL DUTIES & RESPONSIBILITIESThe Regional Data Coordinator key areas of responsibility include:Key Areas of Responsibility:Serve as the primary data evaluator and needs identifier for their Service Planning Area (SPA.
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Preferred: 2+ years of experience with a modern data stack (Databricks, Kafka, Spark, Airflow, real-time databases) and cloud data warehouses such as RedShift and Snowflake. The ideal candidate for this role will have a background in building large-scale, data-intensive applications with SQL and NoSQL, high-throughput and responsive internal and external APIs for data products, and experience in user experience design.
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Experience working with large-scale, end-to-end data platforms and analysis solutions with exposure to platforms and tools such as [Databricks, Spark, Kafka, Cassandra, MongoDB, Redis, MySQL, DBT, Tableau, and Mode] preferred.
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Hands-on production environment experience with distributed processing systems such as Spark Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines.
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Fluent in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. As a member of the Data Engineering - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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Expert level hands-on experience demonstrating OneStream Platform features such as business rules, workflows, dashboards, data management, API, integrations with diverse data sources, BI blend, data visualizationExperience working in an Agile development environmentStrong development experience building and managing metadata, business rules, automating data flows, and building complex reports and dashboards within OneStream application.
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These systems include, transformers, PLC’s, generators, switchgear, UPS systems, STS’, ATS’ PDU’s, chilled water systems, CRAC/CRAH, wet sprinkler systems and pre-action sprinkler, network equipment, transmission media, cabling infrastructure, security hardware, and CCTV. Duties: Completion of CoreSite’s Data Center Operations Qualification Program to the tier level at which you are hired within the first nine (9) months of employment.
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Clinical Research Data Specialist 1 - Smidt Heart Institute (Cheng Lab) The Clinical Research Data Specialist I manages the data for assigned research studies. This will include, crafting forms for data collection, clinical data abstraction, processing data, maintaining record systems, and producing project reports for studies.
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Deliver interventional treatments including TMS, Esketamine (Spravato), and Ketamine Infusion Therapy and work closely with experienced clinical leadership team that has been applying innovative treatment protocols for years supported by positive patient outcome data.
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Alternatively, in lieu of a bachelors degree and four (4) years of experience, Avanade will accept a masters degree, or its foreign equivalent, in Computer or Information Systems Engineering, Automation Engineering, Electronic Engineering, Robotic Engineering, or closely related field, and at least two (2) years of experience as a Senior Consultant, Data Engineer, or in a similar role in a technology or IT consulting environment.
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data job Company: A B Farms in Los Angeles, CA
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