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Stay current with technology trends and developments in the industry Big Data Ecosystem like Cloudera( CDP/CDH) and ETL Application monitoring knowledge. Assigned as the SRE expert to the Data Engineering Team. The data team manages all aspects of our data strategy, analysis, engineering, and machine learning.
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Sound knowledge of ETL practices preferably spark in Data Bricks cloud big data technologies like AWS, Google, Microsoft, or Cloudera. Carrying out statistical and mathematical modelling, solving complex business problems and delivering innovative solutions using state of the art tools and cutting-edge technologies for big data beyond.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Roles and responsibility Migration of data from in house application - primarily Oracle, Netizza, Hadoop to Google Cloud platform Build data models using google big query in the Google Cloud Platform Develop Python scripts for quicker migration Desirable Technical/Functional Skills Expert knowledge in data models, data analytics tools Good notion for Data Modeling Experience in data migration projects Diverse Lynx LLC is an Equal Employment Opportunity employer.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experienced in developing large scale enterprise applications using Big Data open source solutions such as Hadoop, Spark, Kafka, and Elastic Search. Big Data Developer. Advanced knowledge of application, data and infrastructure architecture disciplines.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Advanced degrees, certifications and significant experience in data architecture, data management, Data Science, Azure Cloud Big Data technologies, Azure Data Lake Storage, Kafka, Air Flow, Stream Analytics, Databricks, Spark, Databricks SQL Analytics, Notebooks, MLflow, Snowflake, Snowflake SQL, Snowpark, Cosmos DB, Alation, Python, R, Java, Scala, Azure functions, Advanced Analytics and AI Client libraries, KsqlDB, FHIR/Rest API, GraphQL API, Power BI etc.
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Big Data Validation Engineer. Big Data validation (complex file structures and patterns) The Sr Test Engineer is responsible for the hands-on implementation of Azure/Hadoop/Spark/DataStage validation that meet business requirements, goals, and objectives and, at the same time, encompass the full range of technologies employed by client servers, networks, systems, and data management processes.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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We are seeking a highly skilled and experienced Big Data Developer to join our team in either Jersey City, NJ or Tampa, FL. In this role, you will play a critical role in developing and maintaining big data solutions using Apache Spark and Scala to unlock valuable insights from our banking domain data.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Expertise in Python and SQL, with working experience in Apache Spark, Hadoop, Databricks, Snowflake, or other big data systems is preferred. BS, MS, or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, Economics or related quantitative fields.
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Support Data ingestion pipelines, data processing workflows, and data storage solutions using GCP services such as Cloud Storage, Big Query, Dataflow, Composer etc. Technical skills in below areas Google BigQuery, DataProc, Data fusion, Apache Airflow, Google Cloud Platform, Python, SQL, CI/CD pipelines.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Proven working expertise with Big Data Technologies Spark, PySpark, hive, and SQL. Demonstrates expertise in writing complex, highly optimized queries across large data sets. Diverse Lynx LLC is an Equal Employment Opportunity employer.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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10+/ 7+ years working experience in Data processing / ETL / Big data technologies like Informatica, Hadoop, Cloudera. Experience with Big Data tech stack, including Hadoop, Java, Spark, Scala, and Hive, NoSQL data stores.
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10+ years of experience in solution, design and development of applications using Java 8+/J2EE, Spring, Spring-Boot, Micro Services, RESTful Services and with experience in Big Data and with experience working in heavy data background needed.
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Provisioning and managing Databricks cluster and Knowledge of HDInsight, Azure Functions and Azure DevOps is a big plus. � In-depth knowledge Data processing techniques and handling large data sets � Hands on experience using Azure Blob storage and Azure Data Lake Services for storing data � Hands on experience using Databricks in at least 2 projects, creating notebooks using Scala/Python.
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Experience with big data technologies (e.g., Hadoop, Spark) Experience with databases/SQL to extract, load, manipulate and analyze complex data to identify patterns/trends and draw conclusions.
Full-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Hands on experience on Big Data platforms using Hadoop components like: HBase, Hive, Pig, Oozie and Apache Spark Components such as Spark SQL and Spark Core. Minimum 6 years of experience on Big Data Hadoop technologies & software development.
ExpandApply NowActive JobUpdated 2 days ago
big data jobs Company: Diverse Lynx
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