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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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Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQLAmazon Web Services (Security Groups, Batch, Lambda, SSH, S3, ECS, EC2, ALB, RDS, IAM, SNS, Fargate, ElastiCache, Redis.
$17Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Required Skills: Platform Engineering: Proficiency in Python, Scala, or SQL. Expertise in Apache Spark, Hadoop, or Apache Kafka. ML Ops: Proficient in Python, R, or Java for ML algorithms.
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Hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, ADLS-Delta lake, Azure functions, Logic aps, Synapse, Azure Logic Apps, Azure Storage, Azure Search, Purview, Azure SQL server, Scala/Spark/SQL/PYTHON etc.
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Python/Py Spark/JavaScript;·Understanding or knowledge in SQL, report generation using visualization tools such as Tableau/Power BI, programming using Python/Spark; Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau;Possessing a certification(s) in one of the following is a big plus – GCP/AWS/Azure/ data or ML engineering.
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Experience with data warehouse and big data technologies such as Azure Synapse Analytics, Azure Data Lake Storage, Spark, Kafka, Databricks, Azure Logic Apps, Azure Function apps, Azure Cognitive Services, and Containers.
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Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL, Confluence, JIRA. Utilize programming languages such as Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Experience in Excel, Stata, Python, R, SQL, SAS, ArcGIS/ArcPy, or Cloud computing (Databricks/Spark, Google Cloud, Azure, AWS); Program, build models and/or perform regression analyses in statistical analysis programs (such as Stata, SAS, Python, R, Matlab or Mathematica.
InternExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Experience with modern methods for parallelized processing of large, distributed datasets (e.g. Spark, Hadoop, Map-Reduce) and/or one scripting language (like Python) Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
$136,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Spark Developer must have strong programming skills in Java, Scala, or Python. Should have experience on Java, Python and Spark. Develop, program, and maintain applications using the Apache Spark open-source framework.
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Preferred: Proficiency in common machine learning programming languages such as Python, R, and Spark, and familiarity with various machine learning algorithms. Analyze data and build predictive models using tools such as Python and R to support product development.
$137,500 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Ability to use In-memory capabilities of Tibco Spotfire, Spark as well as rich Machine Learning applications with easy to use Data visualization of Models using built in TERR (Tibco Runtime R engine) and Revolution R/R Studio.
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Experience in understanding, designing and architecting Big data platforms services, systems using Java/python, SQL, Databricks, Snowflakes, cloud native tools on Azure & AWS. Proven Experience with Cloud and Big data platforms, building data processing application utilizing Spark, Airflow, Object storage etc.
Full-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Experience with large scale enterprise applications using big data solutions such as Hadoop, HBase, Spark, Kafka, Airflow, AWS Glue, etc. + Experience or knowledge of basic programming and DB's technologies (SQL, Python, Cassandra, MongoDB, Redis, Couchbase, Oracle, MySQL, Teradata.
$149,400 - $202,200 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Experience using analytics/ML tools such as Python, R, Spark, BigQuery SQL, or Snowflake. Experience in any of Golang, Java, Python, or Ruby. Experience with distributed computing frameworks such as Hadoop or Spark, or distributed training of Machine Learning models.
$210,000 - $310,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago
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