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5+ years of work experience as a Big Data Engineer. Extract, Transform and Load data from multiple sources and multiple formats using Big Data Technologies. Development, enhancement, and support of data ingestion jobs from various source systems following existing design patterns using GCP Services such as Apache Spark, Dataproc, Dataflow, BigQuery, Airflow, etc.
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Any level of experience with Lead design and development of the Big Data Analytics Platform by gathering requirements from the various stakeholders and converting it to technical design and implementation using various Big Data technologies like Apache Spark, Mapreduce, Mongodb etc and programming languages like Java, Scala, Python and build and maintain search related product using technologies including Lucene and Elasticsearch.
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GAI's team members work side by side with government IT executives and OEM partners to solve complex business problems such as AI/ML, RPA, Cyber Security, Big Data, Data Center & Cloud.
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As a Software Development Engineer in the data platform team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. Experience in Big Data stack(Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc.
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We seek an experienced Senior Big Data Engineer to lead and enhance our data engineering initiatives. 5+ years of hands-on experience in Big Data engineering with a strong focus on Impala, Spark, Scala, Hive, Hadoop, and associated technologies.
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Big data and distributed systems (Spark, Databricks, Athena) Work in an agile environment with multidisciplinary teams, including software engineers, cloud engineers, machine learning engineers, data scientists/domain experts, UX/UI, front-end developers, scrums masters, product owners, and most importantly, USERS.
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Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Data proc/EMR, Cloud Function/Lambda, Big Query/Athena, Big Table/Dynamo.
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A Senior Software Engineer with a strong focus in Data Science. Work collaboratively with application engineering, DevOps teams, and data scientists to ensure full integration and optimization of AI/ML models and Big Data processing.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Self-driven, challenge-loving, detail oriented, teamwork spirit, excellent communication skills, ability to multitask and manage expectationsNice to have:Experience in any of: machine learning, analytics, data mining, or data mart and warehouseExperience with Deep Learning platforms (Tensorflow/Keras/Spark MLlib) and SQL/Unix/ShellExperience with machine learning algorithms, NLP, and/or statistical methods a big plusYahoo is proud to be an equal opportunity workplace.
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Design and prototype robust applications that integrate complex data processing methods and functions tailored to enhance the functionality and efficiency of the 2030 Decennial SoS. in data engineering or data scien ce, with practical experience using.
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Big Data Expertise : 3+ years of hands-on experience with major Big Data technologies and frameworks, including Spark, Hive, ZooKeeper, HDFS, Presto, Hadoop, MapReduce, Tensorflow, and more.
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Maintain, sustain, and modify the software applications for SCS using documented software engineering practices, as documented in a Software Development Plan (SDP) Contract Data Requirements List (CDRL) A004.
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Hands on experience with ETL/ELT tools like ADF, Informatica , Talend etc., and data warehousing technologies like Azure Synapse, Azure SQL, Amazon redshift , Snowflake , Google Big Query etc.
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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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big data software engineer jobs Title: ops engineer
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