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Working at Tiger Analytics, you'll be at the heart of an AI revolution. Tiger Analytics is a global AI and analytics consulting firm. Certifications like Data Engineering on Microsoft Azure (DP-203) or Databricks Certified Developer (DE.
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Certifications like Data Engineering on Microsoft Azure (DP-203) or Databricks Certified Developer (DE) are. Mandatory: Azure Data Factory (ADF), PySpark, Databricks, ADLS, Azure SQL Database. As a Principal Data Engineer (Azure), you would have hands on experience working on Azure as cloud, Databricks and some exposure/experience on Data Modelling.
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Tiger Analytics is a fast-growing advanced analytics consulting firm. 4+ years of experience in traditional and modern Big Data technologies (HDFS, Hadoop, Hive, Pig, Sqoop, Kafka, Apache Spark, hBase, Oozie, No SQL databases.
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We are a leading parking lot striping contractor.
$50,000 - $75,000 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Proficiency in Python, SQL, and cloud-based data processing tools. Qualifications: Extensive experience in data engineering, data analysis, and machine learning. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
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Tiger Lines, LLC, a dynamic and diversified transportation business, is excited to announce our search for a Chief Financial Officer to join our senior management team. With over 500 employees during peak season and 88 years in the business, Tiger Lines currently serves the refuse, agriculture, and finished goods industries.
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Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. We are looking for a Senior Data Scientist with robust Optimization experience (in particular, integer programming, mixed integer programming), AWS experience, and strong coding capabilities, within preferably from Ad-Tech/Media-Tech domains.
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Excellent experience in Master Data Management including include Meta-Data Management, Data Migration, Data Security and Data Transformation/Conversion. The Master Data Management Analyst will be responsible for defining, designing and building dimensional databases to meet business needs.
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Experience in implementing Data Lake with technologies like Azure Data Factory (ADF), PySpark, Databricks, ADLS, Experience in using big data technologies like Hadoop, Spark, Airflow, NiFi, Kafka, Hive, Neo4J, Elastic Search.
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Some experience of using big data technologies like Hadoop, Spark, Airflow, NiFi, Kafka, Hive, Neo4J, Elastic. Experience of working in Agile projects and following DevOps processes with technologies like Git, Jenkins & Azure DevOps.
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Using different Open Source, Big Data, and Cloud technologies on Microsoft Azure. Design and build scalable & metadata-driven data ingestion pipelines (For Batch and Streaming Datasets) Good Understanding of different file formats like Delta Lake, Avro, Parquet, JSON and CSV.
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A comprehensive foundation with working knowledge of Azure Synapse Analytics, Event Hub & Streaming. Adept understanding of different file formats like Delta Lake, Avro, Parquet, JSON, and CSV. Optional: Azure Synapse Analytics, Event Hub & Streaming Analytics, Cosmos DB and Purview.
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Strong programming, unit testing & debugging skills in SQL, Python or Scala/Java. Azure SQL Database. skills in SQL, Python, or Scala/Java). A passion for writing high-quality code and the code should be modular, scalable, and free of bugs (debugging.
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You will build and learn about a variety of analytics solutions & platforms, data lakes, modern data platforms, data fabric solutions, etc. Interact and collaborate with multiple teams (Consulting/Data Science & App Dev) and various stakeholders to meet deadlines, to bring Analytical Solutions to life.
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Experience in supporting BI and Data Science teams in consuming the data in a secure and governed manner. Experience of supporting BI and Data Science teams in consuming the data in a secure and governed manner.
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Company: Tiger in Liberty, New York
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