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You will leverage your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks to ensure efficient data processing and analysis. Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
$120 - $175ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Micro-batch streaming and continuous streaming process in Databricks for high latency, low latency and ultra-low latency of data accordingly by using inbuilt Apache spark modules. Strong hands-on expertise in building Data engineering solutions using Java, Apache Spark and Scala.
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We are seeking a highly experienced Senior Data Engineer with a deep understanding of PySpark using Databricks or AWS Glue or AWS EMR and cloud-based databases such as Snowflake. 5+ years of experience in data engineering, with a strong background in Apache Spark and cloud-based databases such as Snowflake.
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Maintain relationships with data vendors and platform providers: Broadridge, FactSet, MSCI, Russell, eVestment, Assette, Morningstar. Excellent data management skills, with particular emphasis on FactSet, Bloomberg, Power BI, VBA, Microsoft Excel, SQL, and Python.
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Act as the primary liaison and account manager for external data vendors and platforms, ensuring effective partnership and data integration. Develop and maintain infrastructure for effective data extraction, transformation, and loading (ETL) utilizing AWS and SQL technologies, streamlining data processing workflows.
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This role will coordinate with our hardware team to improve data collection from our novel spectral soil probe for building machine learning models, will partner with our soil science team to collect and analyze soil and geospatial data sets, and will collaborate with our business development team to accurately and effectively communicate soil carbon results to our customers.
$140,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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The HMIS is the central database to collect, track, analyze and report uniform client and activity data regarding the provision of shelter, housing, and services to individuals and families experiencing homelessness or who at risk of homelessness within the Contra Costa CoC region.
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We are seeking an experienced Data Strategy Manager to support our efforts in enabling HCP data for all Analytics and BI use cases for U.S Therapeutic Operations. Bachelor’s degree in one of the following fields: Statistics, Engineering, Finance, and/or Applied Mathematics Experience in house and third-party Promotional data, IQVIA & Symphony Health sales data, Affiliations, and Specialty Pharmacy data.
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Four years experience working in technical data analysis, data science, or data warehousing, preferably in a transportation-related field. Provide the Commercial Motor Vehicle (CMV) Program Coordinator with actionable insights and analysis reports based on data, to support decision-making efforts toward program oversight and monitoring goals.
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Work with EI group to maintain and improve data interfaces between Advancement and other campus products, including Banner, Slate, SalesForce, and Ellucian Experience, among others. Improve data flow within internal Advancement systems (CRM Advance, phonathon, endowment, alumni portal, Hivebrite.
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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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Expert knowledge of at least one data science programming language (e.g. Python, R, Julia, etc.) and relevant data science and visualization libraries (scikit-learn, pandas, ggplot, etc.
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Job Summary: The Data Management Specialist will be responsible for managing and optimizing our organization's data infrastructure, ensuring data quality, and implementing data solutions using PySpark, DataBricks, Snowflake, and/or Redshift.
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Role: Data Center Engineer/ Technician Location: Tulsa, Oklahoma, USA / Plano, Texas, USA / Colorado Springs, Colorado, USA Requirements: Strong organizational and communication skills (written and verbal.
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Garner key insights from data and communicate these findings to key stakeholders to help make data-driven decisions; key technologies include SQL, Python, R, Tableau, Microsoft, and Google suite of tools.
$63,150 - $90,000 a yearFull-timeExpandApply NowActive JobUpdated Today
data job Title: manager Company: Ctg
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