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Required Skills: Extensive working experience with HDFS, Spark, Spark Streaming, Oozie, Hive, Kafka, Kafka Message Queues, Splunk, Flume, Pig, Scala, and Sqoop. Key Required Skills: Extensive experience in Design, implementation; support data ingestion, and consumption pipelines for enterprise-scale datasets using Big Data tools, such as Kafka, Spark, Oozie, Hive, MapReduce, Flume, Pig, Scala, Python, and Java Requirements Basic Qualifications: Bachelors Degree in Computer Science, Mathematics, Engineering or a related field with 7+ years of experience.
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3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) West Creek 3 (12073), United States of America, Richmond, VirginiaSenior Data Engineer (Python, Scala, or Spark)Do you love building and pioneering in the technology space.
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Data Management: Primary Skills: PIG, Py-Spark Secondary Skills: NiFi, PressureWave. API: Required: Python, Django or Flask, Database experience using MongoDB or MariaDB, ReST endpoint development, Micro service model Desired: Swagger, AWS, C2S or other cloud experience, Docker, Visual Studio Code or similar IDEs, JSON and/or XML serialization, Jira, Confluence, Git version control, Experience working in Agile environment.
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Experience with automated delivery pipelines, agile delivery and test-driven developmentIn-depth experience with server-side frameworks such as Spring Boot and TomcatIn-depth knowledge of software design patternsIn-depth RDBMS development experience (e.g. SQL Server, PostgreSQL, MySQL)Solid understanding of Spark, Redshift, Apache Ni-Fi helpfulSolid understanding of cloud native architectures (AWS, etc.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Work with a state-of-the-art data technology stack (Spark, Tensorflow, Pytorch, Snowflake, Airflow, AWS Ecosystem) that operates in the cloud to empower predictive modeling services for both internal and external customers.
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3 years of technical expertise in any of the following: SQL, Python, Databricks, Azure Data Factory/Synapse and Apache Spark. 3 years of technical expertise in any of the following: SQL, Python, Databricks, Azure Data Factory/Synapse and Apache Spark.
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Experience with Git and GitLab Ci/CD Experience using Jira and Confluence Preferred Qualifications: AWS certification or other cloud certification Familiarity with Spark, Elasticsearch, Kibana, MySQL, Node.js Experience performing or working with system administrators to schedule or perform system patching and implementing IAVA compliance Software development experience with Scala, Java, Angular, or Node.js Experience working in an Agile and Scrum environment.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 2+ years of data warehousing experience (Redshift or Snowflake.
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Experience with big data tools and platforms, such as Hadoop, Spark, or Kafka. Team Player: Are you a joiner? Experience with big data tools and platforms, such as Hadoop, Spark, or Kafka. Our client is adding a Data Science Software Engineer to a small team of top performers focused on developing complex, AI-based algorithms and forecasting applications in the financial industry.
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Must have experience in quality assurance of Linux and Kubernetes container systems and be familiar with big data technologies such as Hadoop, Spark, and Kafka. Must have experience in quality assurance of Linux and Kubernetes container systems and be familiar with big data technologies such as Hadoop, Spark, and Kafka.
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Fuse’s innovation culture and modern product development teams power the evolution of our commercial products and spark the creation of new businesses and products. Experience in the Design and implementation of AI/ML models and solutions using Google Cloud Platform technologies, including but not limited to Vertex AI , BigQuery, AI Platform, TensorFlow Extended (TFX), Dataflow, and Compute Engine.
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Data Management: Primary Skills: PIG, Py-Spark. API: Provide the development, test, deploy, and sustainment of various Python based ReST end points, microservices, and data model management capabilities utilizing Django and Flask frameworks to interact with data models such as MariaDB, MongoDB, and PostgreSQL and send data upon request, in JSON format, to UI front ends.
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You will have an opportunity to work on the application service layer written in Spark and Scala running on EMR’s orchestrated by Python Lambdas, debug application and environment issues, and optimize compute utilization at Capital One.
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Experience with big data tools: Hadoop, Hive, PySpark, Apache Spark, MLlib, and GraphX. Proficient in some or all of the following techniques - Linear & Logistic Regression, Decision Trees, XG Boost, Random Forests, K-Nearest Neighbors, Markov Chain, Monte Carlo, Gibbs Sampling, Evolutionary Algorithms, Support Vector Machines.
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Experience with distributed data and computing tools including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with distributed data and computing tools including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
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spark job in Baltimore, MD
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