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Experience with data processing frameworks/tools/platform such as Databricks, Apache Spark, Kafka, Flink, AWS cloud services for batch processing, batch streaming and streaming. A Day In The Life As a Lead Machine Learning Ops Engineer, you will play a pivotal role in implementing DevOps and ML Ops practices within the Corporate Data & Analytics Team to support AI/ML application enablement across The Friedkin Group of companies.
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Data Engineering: Knowledge of ETL processes, data pipelines, and workflow automation tools like Apache Spark and Apache Airflow. ETL and Data Pipelines: Implement ETL processes and data pipelines using tools like Apache Spark and Apache Airflow for workflow automation.
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Expert level building pipelines using Apache Spark Familiarity with core provider services from AWS, Azure or GCP, preferably having supported deployments on one or more of these platforms.
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Proficiency with Azure Databricks, Apache Spark, and data processing frameworks. Certifications (Preferred): Azure Data Engineer or Azure Solutions Architect certifications.
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Frameworks & Tools: Extensive experience with Hibernate/JPA, AWS, Databricks, Angular/React JS, and JBOSS Enterprise SOA. Knowledge of Apache Kafka, Apache Spark, and ActiveMQ is a plus.
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Apache Hadoop or Apache Spark (for big data processing) Data Warehousing (e.g., AWS Redshift, Google BigQuery) Natural Language Processing (NLP) Tools and Frameworks (e.g., Hugging Face, AWS Comprehend Medical for extracting insights from clinical text data.
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Experience using Apache Spark, Nifi and/or Kafka. Experience with data analysis & model prototyping using Spark/Python/SQL and common data science tools & libraries (e.g. NumPy, Pandas, scikit-learn, TensorFlow.
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4+ years of experience with technologies Apache Mesos, Marathon, or Apache Spark. San Francisco and San Jose, California (Hybrid On-Site): $213,400 - $243,500 for Lead Software Engineer.
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Docker, Kubernetes, ECS, EKS or AWS Fargate (for containerization and orchestration of data applications and reproducibility) Data Visualization Tools (e.g., Tableau, Power BI, Plotly) The Data Scientist will be responsible for driving insights from the vast amounts of patient and environmental data available within our data warehouse.
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4+ Experience with technologies Apache Mesos, Marathon, or Apache Spark. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Software Engineer. Sales Territory: $170,700 - $194,800 for Lead Software Engineer.
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C#, design pattern, devops, expert, java, matlab, programming, senior software engineer. Lead Software Engineer, DevOps. As a DevOps Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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AWS (Redshift, Aurora, Glue), Google (BigQuery), MongoDB, Cassandra, Snowflake, Teradata, Oracle Exadata, IBM Netezza, SAP (HANA, BW), Apache Hadoop & Spark, MapR, Cloudera/Hortonworks, etc.
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Knowledge of programming languages such as Python, R, SQL, Apache Spark. Strong data analysis skills using tools such as Tableau, PowerBI, Spotfire, JMP, Plotly, Matlab. Background in Chemical Engineering, Mechanical Engineering, Materials Science, Chemistry, Physics, or Data Science a plus.
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11 West 19th Street (22008), United States of America, New York, New YorkLead Software Engineer, DevOps. We are seeking DevOps Engineers who are passionate about marrying data with emerging technologies to join our team.
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New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Software EngineerSales Territory: $170,700 - $194,800 for Lead Software Engineer. Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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apache spark jobs Title: data engineer Company: Kbx in Parkville, Maryland
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