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Experience in developing partner led sales in collaboration with data platform and tool vendorsIn-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc.
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At least 4 years of experience in data engineering working with Big Data Technologies: Apache Spark, Pyspark, Hadoop, and DataBricks with delta lake. Requires a minimum of a bachelor's or foreign equivalent degree in Management Information Systems, Computer Science and Engineering, or a related field plus 4 years of experience as a software developer, data engineer, or related occupation.
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Great to haves: Experience with Databricks or S3 based data lakes Experience writing Python or Scala code Exposure to big data tools: Hadoop, Spark, Kafka, etc. As a Senior Data Engineer, you will help evolve our platform (Databricks) and our partner integrations (HubSpot, Iterable, Appcues, etc.
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Experience with Cloud-based data services and solutions (Azure Synapse / Data Lake, AWS RedShift, Snowflake, GCP Big Query) Experience with big data tools and architectures, such as Cloudera Hadoop, HDFS, Hive, and Spark.
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Experience as a Sales Engineer or Pre-Sales subject matter expert in multiple areas in Data Solutions (BI, Analytics, Big Data, predictive analytics, etc.) These solution areas cover data fabric & machine analytics, business intelligence, artificial intelligence, data governance, data search & content, data strategy and enablement, and data platforms with industry verticals in healthcare, financial services, retail & consumer markets, and life sciences.
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Experience building and optimizing best practice Enterprise Risk Management, Third Party Risk Management, Risk Quantification, as well as Data Governance and Artificial Intelligence (AI). Support data governance efforts across the organization, including but not limited to data classification, data retention and disposal, data sharing, records management, archiving data, and data privacy.
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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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The Platforms & Services (P&S) sector under BAE Systems, Inc does the big stuff: the armored combat vehicles, naval guns, missile launchers, and naval ship repair. The Platforms & Services (P&S) sector under BAE Systems, Inc does the big stuff: the armored combat vehicles, naval guns, missile launchers, and naval ship repair.
$105,050 a yearInternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In-depth and applied knowledge of data engineering tools and techniques, including ML Ops, Databricks and/or Snowflake, AWS, DBT, AI/GenAI Data Pipelines, Data Automation, Python, Model Monitoring, and Alerting.
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Proven experience with Azure, Databricks and Hadoop distributed frameworks while handling large amount of big data using Spark and Hadoop Ecosystems. Strong understanding of databases and big data software technologies, specifically Azure and Databricks.
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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time. To secure a legitimate work from home data entry position, expertise in that field isn't an absolute must. Roles include data entry clerk, customer service agent, nurse or medical assistant - just choose what suits your skills best and start earning.
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Note: Data Annotation payment is made via PayPal. We will never ask for any money from you. Fluent in English● A bachelor's degree (completed or in progress)● Excellent writing and grammar skills● Strong research and fact-checking skills to ensure accuracy and originality● Previous experience as a Freelance Writer, Content Writer, Editor, Copywriter, Copy Editor, or those with experience in journalism and/or media is preferred but not required.
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Proficiency with People Analytics tools, including data visualization and analysis, highly desired (e.g., Visier, Crunchr, PowerBI, Workday, Python, R, Tableau). In partnership with the HR Enablement Director and the HR Data & People Analytics team, you will be an integral part of the development of a comprehensive people analytics strategy and play an active role leading its execution.
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Streaming & Data pubilishing tools - HEC, Kafka, DD(Data Distributor), Cassandra, Autosys. Skills: Cobol, DB2, CICS, JCL, VSAM, Git / Code Repository usage, CI/CD, Jenkins Pipeline, JIRA, Agile Methodology, zOS Connect.
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Dominion Enterprises is a privately held digital marketing, data services, and software services conglomerate offering client solutions through specific business units in several verticals including automotive, hospitality, franchise, real estate, advertising, and powersports.
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big data jobs Company: Petsmart Inc in Minneapolis, MN
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