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Big Data Engineer. 5+ years of experience in building data engineering solutions utilizing AWS services (S3, Kinesis, Lambda, Glue, SNS) or Data platforms like Databricks/Cloudera.
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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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Experience in data integration and building complex ETL pipelines using ETL tools, including Informatica, Datastage, Clover DX, AWS Glue, Knime. Maintain, support, and develop within the HR Data Mart Snowflake instance, including code build/review, auditing, performance tuning, and security.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Requires: Bachelor’s degree (or foreign equivalent) in Computer Science, Computer Engineering, or closely related field plus 5 years of progressive post-baccalaureate experience in job offered or as Hadoop Developer, Commercial Quality Assurance, Graduate Assistant, and Big Data Hadoop Developer.
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Build data centric products that will scale well using the following platforms and technologies - Azure SQL, GCP Big Query and Graph technologies (Neo4j), big data solutions like Apache Spark, GCP Data Proc, and in Messaging platforms (Kafka.
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The Big Data Engineer shall lead the Big Data Engineering team. Strong project experience in Big Data, Cloudera Distribution 7. Implement monitoring solution(s) for the Big Data platform to monitor health on the infrastructure.
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Expertise in Cloudera Big Data Technologies, including Cloudera Distribution of Hadoop (CDP), Apache Hadoop, Apache Spark, Apache Hive, Apache Impala, and Apache HBase, with hands-on experience in deploying, configuring, and optimizing these technologies for large-scale data processing and analytics.
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Experience with some of the following: Kubernetes, Docker, Helm Charts, Hadoop, Cloudera, Hortonworks, Apache Storm, Apache Spark, HBase, YARN, map-reduce, big-data analytics, semantic-web (RDF, OWL), Hive, Elastic Search, MS SQL Server Big Data, and graph-databases.
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1 year of experience with Big Data in cloud computing platforms, such as Google Cloud Platform, Amazon Web Services, Microsoft Azure, Apache Spark, Snowflake, Databricks, or a similar cloud computing platform.
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5+ years in designing, solutioning the Databricks, Snowflake, PySpark and Big data tools including DataOps, Data engineering, Data Integration, Data Orchestration and Data Marketplace.
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DE constructing feature engineering and cleansing data using Python, Hive, or Spark; performing data retention and application integration, using advanced transformation techniques (from SQL, Hive, Informatica, or NiFi) and Big Data tools (Spark, Hadoop, or Snowflake) for legal, compliance, risk, and security applications.
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At least 4 years of experience in data engineering working with Big Data Technologies: Apache Spark, Pyspark, Hadoop, and DataBricks with delta lake. Requires a minimum of a bachelor's or foreign equivalent degree in Management Information Systems, Computer Science and Engineering, or a related field plus 4 years of experience as a software developer, data engineer, or related occupation.
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Demonstrated expertise in big data technologies, including Apache Spark, Scala, Python, SQL, and TEZ. Optimize the utilization of our BI platforms, tailoring data models and dashboards to the specific needs of big data processing and analysis.
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Advances in big chemical data, massive computing power, artificial intelligence, and molecular dynamics simulation are changing the way we develop new drugs. At 1910 Genetics, we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, genetics, data science, and software engineering to develop drugs for previously undruggable targets.
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computer big data jobs Title: associate professor assistant in Castle-rock, Colorado
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