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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 combination brings together healthcare expertise, AI/machine learning technology and data-driven analytics solutions to deliver innovative solutions and value to our customers and the healthcare ecosystem.
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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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Experience with big data tools and technical architecture. Serve as lead data scientist and assist in driving data science and AI initiatives for the enterprise. Serve as lead data scientist and assist in driving data science and AI initiatives for the enterprise.
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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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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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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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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. Leads the design and build of scalable data pipelines and solutions (batch and/or streaming) that make the best use of traditional and cloud platforms (AWS or similar) by understanding the business, technology, and data landscape including real time data processing.
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Partners with Enterprise Architecture, Technology, and Project teams to ensure consistency of solutions approach while maintaining data governance requirements. Experience with modern data architectures and modern data platforms like Snowflake, Databricks etc.
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Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.) Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive.
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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. · Experience with data tools such as Power BI and Tabular models (DAX) in Visual Studio, Purview.
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Data Science Associate (EMCDS)/Cloudera Certified Data Scientist (CCDH)/Certified Apache Hadoop Developer (HCAHD) (Hortonworks)/Certified Information System Security Professional (CISSP)/Certified Cloud Professional (CCP.
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We are searching for a Senior Machine Learning Engineer to join our collaborative group that includes a mix of big data, API, and full stack development teams. A track record of commitment to prior employers 5+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role 5+ years of programming experience with modern languages such as Python, C#, Java, or Scala.
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big data jobs Title: technology lead Company: Tiger Analytics in San Diego, CA
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