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Senior Data Engineer (Python, Scala, or Spark) 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.
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Proficient in project software: SAS/SQL, Databricks, Python, Spark languages/technologies Excel, Word, PowerPoint, Business Objects, and Outlook. Use SAS/SQL, Databricks, Python, Spark; other software as appropriate to task.
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Deep knowledge of open source data science and statistics packages such as Python, R, Spark, etc. Experience with analytics and statistical software such as SQL, R, Python, Excel, Hadoop, SAS, SPSS and/or others to perform analysis and interpret data.
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7+ years of experience in application development including Python, SQL, Scala, or Java. 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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4+ years of experience in machine learning engineering with production systems using Scala, Python, and Apache Spark. The tech stack you will be working with is Spark, Scala, and Python, including PyTorch.
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Depth of understanding of basic coding languages (Python, SQL, Py spark) Experience with business intelligence software such as Datorama, media data and financials (PRISMA, Ad Servers) and cloud base services such as Snowflake, Databricks, Azure.
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Administration experience of distributed computation and streaming frameworks, like Kafka, Cassandra, Elasticsearch, Flink, Storm, Spark, and cloud services EMR, Dataproc, Elasticache, AWS RDS, GCP SQL or similar.
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Build big data platform using AWS Glue, Spark, Spark Streaming and other AWS services. 1+ years of experience with AWS and Spark Streaming. 5+ years of experience in at least one of the following: Java, Scala, or Python.
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As an autonomous and self-motivated professional, you will work closely with our team to analyze security data using Databricks, Python, and Spark, while also creating and maintaining reporting Dashboards in AWS-Quicksight and PowerBI.
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3+ years of experience with big data frameworks (Amazon EMR, Apache Spark) Utilize programming languages like Java, Python, SQL, Node, Go, and Scala. 9+ years of experience in at least one of the following: Java, Scala, Python, or Go.
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Utilize programming languages like Scala, Java, Python. Utilize programming languages like Scala, Java, Python. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC.
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Experience working with large data sets, simulation/optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.) Experience with R, Python, and SQL is required, other program languages are beneficial.
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Experience in analysis, design, development, support and enhancements in data warehouse environment with Cloudera Bigdata Technologies (with a minimum of 8-9 years’ experience in Hadoop, MapReduce, Sqoop, PySpark, Spark, HDFS, Hive, Impala, Stream Sets, Kudu, Oozie, Hue, Kafka, Yarn, Python, Flume, Zookeeper, Sentry, Cloudera Navigator) along with Informatica.
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Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL, Confluence, JIRA Amazon Web Services (Security Groups, Batch, Lambda, S3, ECS, EC2, ALB, RDS, IAM, SNS, Fargate, ElastiCache, Redis.
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Strong Python programming skills and experience with relevant libraries such as TensorFlow, PyTorch, and scikit-learn. Experience using big data technologies such as Spark, Hadoop, and Kafka.
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