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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. 3+ years of experience in application development including Python, SQL, Scala, or Java.
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Strong proficiency in programming languages such as Python, Java, or Scala, with expertise in data processing frameworks and libraries (e.g., Spark, Hadoop, SQL, etc.) Experience with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud) including familiarity with relevant tools and technologies (e.g., S3, Redshift, BigQuery, etc.
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Cuda C, Scala/Java, scripting languages such as python, and browser-based user interfaces. keywords: RTOS, embedded, RTSD, telescope, observatory, astronomy, planetary science, space. Experience with design, development, test and operations of adaptive optics control systems at large telescope facility.
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BigData, Scala, Hadoop, AWS EMR, AWS EC2, AWS Airflow, Snowflake, AWS Athena, Spark, Python, PL/SQL, Tableau, Angular, CI/CD. You should be comfortable working in a fast-paced environment and can help build APIs, Calculators, on new cutting edge cloud and big data technologies such as AWS EMR, EC2, Scala Spark, Scala, Snowflake.
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The team uses a variety of tools, technologies, and languages to build software like Delta Lake, Hadoop, Kinetica, Solr, Spark, Kafka, Python, Java, Ruby, Scala, Airflow, Luigi, EMR, Databricks, etc.
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5+ years of experience in application development including Python, SQL, Scala, or Java. 2+ years of data warehousing experience (Redshift or Snowflake) 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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Develop ETL workflows/data pipelines to ingest data using AWS Data Migration Service (DMS), Scala, Kafka, Restful APIs, and other technologies as determined by the client from multiple transactional systems to the target (including ODS, data marts, and data lake) according to documented logic and source-to-target mappings.
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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, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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You'll code with machine learning languages like Python, R, and Scala to synthesize millions of data sets into patterns that answer ad hoc requests and then use Tableau for data visualization. Advanced knowledge and prior experience in Python, SQL, distributed computing tools such as Databricks, AWS or other Cloud platforms.
$99,900 - $267,570 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, Master's degree 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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Big Data technologies, Cloud-based technologies (AWS EMR, State Machines, Step Functions, CDK, Glue, TypeScript, CloudWatch, S3, Glacier Archival Storage, Spark Scala Python). Big Data technologies, Cloud-based technologies (AWS EMR, State Machines, Step Functions, CDK, Glue, TypeScript, CloudWatch, S3, Glacier Archival Storage, Spark Scala Python.
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A Senior Data Engineer will use his or her hands-on expertise in Spark/Hadoop, Scala programming, Linux scripting, AWS, DevOps and API technologies to expand and optimize architecture, data flows, infrastructure, APIs and data pipelines to support the Epsilon PeopleCloud Discovery Platform.
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Use programming languages including but not limited to Python, R, SQL, Java or Scala, SQL. Programming Languages: Python, R, SQL, Java or Scala, SQL. Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
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As a Director, Data Scientist for HR, you will serve as a member of the HR Data Science team within Employee Insights responsible for performing, developing, and executing on research and building predictive models dealing with recruitment, career advancement, mobility, organizational structures, performance management, succession, compliance, listening surveys, equality programs, compensation, inclusion & diversity, learning, and talent development.
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Strong hands-on expertise in building Data engineering solutions using Java, Apache Spark and Scala. Deep expertise in Performance tuning and optimization of Java/Spark/Scala programs. Micro-batch streaming and continuous streaming process in Databricks for high latency, low latency and ultra-low latency of data accordingly by using inbuilt Apache spark modules.
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scala job in Newark, NJ
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