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As a Staff DevOps Engineer-Hadoop Admin on our Big Data Federal Team you will help deliver 24x7 support for our Private Cloud infrastructure. Architect and drive the end-end Big Data deployment automation from vision to delivering the automation of Big Data foundational modules (Cloudera CDP), prerequisite components and Applications leveraging Ansible, Puppet, Terraform, Jenkins, Docker, Kubernetes to deliver end-end deployment automation across all ServiceNow environments.
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Develop data, analytic, and data science models using Python, PySpark, Large Language Models (LLM) algorithms, and working with other big data tools such as AutoML, BigQuery(BQ), BQML, DataPrep and Jupyter Notebook.
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2+ years experience on Big data pipelines/DAG tools like Airflow, dbt is required. The duties of the Senior Analytics Engineer will comprise data discovery, data modeling, data engineering, and data governance, thus serving as a full-stack analytics engineer leveraging the modern data stack.
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Net, C#, Android SDK, Kotlin, IOS Swift, AWS: EMR, S3, Redshift, Athena, Glue, DynamoDB, Lamda, CloudWatch, ElastiCache, Kinesis, SNS, SQS, Azure: HDInsight, Data Factory, Data Lake Analytics, Databricks, GCP, and Big Data Apache: Hadoop, Hive, Hue, Sqoop, Kafka, Spark, Airflow, SnowFlake, Python, Scala, Machine Learning: NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Apache Mahout, Vertex AI, Keras, OpenNN, Theano.
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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Experience with Cloud data such as AWS or Azure big data offerings. Experience building and optimizing 'big data' data pipelines, architectures, and data sets.
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Experience using analytics/statistics to solve complex business problems - Big Data, Python / SQL, ML studio, Data visualization tools. Developing and managing credit risk decision strategies by creating data driven insights and analytics across customer lifecycle; i.e. New Accounts, Portfolio and Line Management and Collections, and across WEX products and lines of business.
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Experience with big data tools and technical architecture. San Diego Community Power (SDCP) is seeking a seasoned Data Scientist to join our growing team of data transformation experts who will be responsible for collecting, organizing, and mining data to build AI and data science initiatives to deliver clean energy solutions that help our local and global communities.
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Builds the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using ‘big data’ technologies and tools. Data is central to ICW Group’s business strategy and digital evolution, and the Data Engineer ensures optimal data delivery architecture is consistent throughout all projects.
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The Data Engineer III will design, develop, and implement data pipelines, data integration and data storage solutions such as data warehouses, data lakes, relational and non-relational databases.
$113,668 - $203,468 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This position is for an innovative senior data engineer who is a self-driven and results-oriented individual who is not afraid of big challenges but is also able to focus on excellent end user support, and successfully drive programs from start to finish.
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Proficiency in Azure Synapse, Visual Studio, Azure DevOps, CI/CD, Pipelines, Data Factory, Python, Databricks, SQL. The Senior Data Engineer oversees program management of medium to large projects with a well-rounded technical background in business intelligent solutions.
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Hands-on experience with big data application development and/or with cloud data warehousing (e.g. Spark, Redshift, Snowflake, Azure SQL DW, BigQuery) Experience across any other of the top cloud data platform vendors, including Google, Microsoft Azure, and Snowflake is a plus.
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Latitude specializes in providing highly skilled former in-house counsel and Big Law attorneys for flexible contract engagements and permanent positions in dozens of practice areas, including commercial contracting, data privacy, M&A, employment, litigation, and more.
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Homes.com - Senior Data Engineer. We are hiring talented Senior Data Engineers in roles related to building cloud-based data pipelines for machine learning, data processing with Apache Spark, and database development.
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big data jobs Title: devops engineer Company: Crowdstrike in San Diego, CA
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