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Data Platforms – Hadoop, Spark, Oracle, Exadata, SQL Server, DB2, MongoDB, Teradata, Splunk. Collaborate with data analyst and business intelligence teams to design data visualization solutions and reporting on adherence to data architecture and data governance metrics.
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The ideal candidate will possess a strong background in Data Center builds and management, VMware technologies, Azure, Active Directory, Exchange and SMTP relay, EMC storage, physical server technologies, and related Azure services.
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Experience with Big Data frameworks (e.g. Hadoop MapReduce, Spark, Hive, Kafka) Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience of working with data science platforms - especially DataIKU or databricks. Agility core practices, Analytical Thinking, Computational Thinking, Continued Learning, Data Analysis, Data cleansing and transformation, Data Management, Data Sourcing, Data visualization and interpretation, Dialogue enablement, Exposure Management, Machine Learning, Macroeconomics, Market analysis methods, Market Risk Management, Statistics, Trade execution and management, Trading Fundamentals, Sentiment and Trends, Trading knowledge.
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Build and deploy batch and streaming pipelines to collect and transform our rapidly growing Big Data set within our hybrid cloud architecture utilizing Kubernetes/EKS, Kafka/MSK, and Databricks/Spark.
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Experience in Excel, Stata, Python, R, SQL, SAS, ArcGIS/ArcPy, or Cloud computing (Databricks/Spark, Google Cloud, Azure, AWS); Experience in Excel, Stata, Python, R, SQL, SAS, ArcGIS/ArcPy, or Cloud computing (Databricks/Spark, Google Cloud, Azure, AWS.
$91,000 a yearPart-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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3+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake, or Databricks for Data Engineering or Machine Learning workloads. We are looking for a Senior Data engineer.
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Your expertise is needed on our Finance Team to collect and manage project data in compliance with Department of Treasury’s Community Development Financial Institutions Fund (CDFI Fund) program requirements, including all CDFI programs (FA, NMTC, CMF, ERP, etc.
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Job Summary Langan is seeking a Senior Staff Environmental Scientist, Geologist, Engineer or Hydrogeologist to join its collaborative team in Chicago, IL. This individual will serve a key function in providing site exploration activities, including soil borings and monitoring well installations; conducting field tests; collecting field data and samples; monitoring construction sites; and compiling data and preparing reports.
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Ability to communicate with a white glove approach to business teamsAdvanced skills with SQL, Power BI, Tableau, or Qlik. Intermediate proficiency with Python (Pandas, Polars, Spark) or R.Experience with Azure Cloud, PowerBI, and Databricks.
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Quality work and client satisfaction are at the forefront of our business philosophy, and we are seeking a Resident Engineer to join our growing team. A minimum of five years of experience with IDOT, Tollway and/or CDOT projects.
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Experience with Data Ops (VPCs, cluster management, permissions, Databricks configurations, Terraform) in Cloud Computing environments (e.g., AWS, Azure, GCP) and associated cloud data platforms, cloud data warehouse technologies (Snowflake/Redshift), and Advanced Analytical platforms (e.g., Dataiku and Databricks.
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Understand C-sUAS data models for tracking and mitigation. Will coordinate regularly with program manager, chief engineer and chief architect. Must be able to take immediate direction from chief architect and chief engineer.
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As a Site Reliability Engineer (SRE) Intern/Co-op on Meraki SRE, you will work on projects spanning everything from our server hardware and operating systems to tools for code deployment and service monitoring.
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Apply Environmental Sequence Stratigraphic (ESS) methodology to complex data sets consisting of lithologic borings, down hole, and surficial geophysical data (including but not limited to Nuclear Magnetic Resonance, Gamma and e-logs, Electrical Conductivity/Hydraulic Profiling Tool, Seismic, and ground penetrating radar.
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databricks hadoop server data engineer jobs Company: U S Bank in Chicago, IL
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