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Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines. Hands-on production environment experience with distributed processing systems such as Spark.
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5+ years hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Apache, Perl/Python/PHP, Chef, Scala) 5+ years hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka.
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You should possess strong technical skills in SQL, Python, Spark, and PySpark and have hands-on experience with AWS and Databricks platforms. Develop and optimize big data processing using Spark and PySpark within the Databricks environment.
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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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5+ years of experience in test automation and testing integration functions same or like RCSA related business controls Proven hands-on experience in Java, JEE, Streaming, API, Microservices, Containerization and UX/UI tools such as Angular JS/React, etcIn-depth knowledge on data engineering, DB models and architecture in RDBMS, Big Data and other cloud databases such as snowflake, Databricks, etc.
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Hands-on production experience with orchestration systems such as Airflow. Tech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Scala, Python. Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query.
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Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP) Comfortable with command line (Linux, Windows) scripting Experience with at least one other programming language (Python, R, Julia, Scala, Go, Java, C.
$92,500 - $158,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In-depth knowledge on data engineering, DB models and architecture in RDBMS, Big Data and other cloud databases such as snowflake, Databricks, etc. Proven hands-on experience in Java, JEE, Streaming, API, Microservices, Containerization and UX/UI tools such as Angular JS/React, etc.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. You thrive on bringing definition to big, undefined problems.
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Strong knowledge of SQL, Python, data-structured languages, and big data. Hands-on experience building statistical, machine learning, and deep learning models. Monitor developments and trends associated with market structure and trading on the NYSE exchanges.
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Hands on exposure to data science tools & techniques such as Big Data, PySpark, Hive, Scala, Python is required. This Senior Manager role would be based in New York and would be focused on driving sentinel Analytics spanning across channels and product offerings from Amex. The incumbent will be responsible for driving innovative analytical solutions and strategies that helps in gaming prevention thereby driving profitable acquisitions for the commercial business.
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Hands on experience in using SQL, Python and Workflow Schedulers (Apache Airflow, Cron) Entrepreneurial hands-on approach to work. Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.
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Strong Hands-On Experience with Spring framework (preferably Spring Boot). Strong Hands-On Experience with Core Java, J2EE, JMS &. Strong Hands-On Experience with SQL, PL/SQL programming.
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Strong Hands-On MUST Experience of a minimum of 2 years with React. Strong Hands-On Experience with Rest APIs. Big data / AWS Cloud / Micro services. Spark using Scala / python/java and HDFS.
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Leverage a broad stack of technologies — Python, AWS, Pyspark, Nvidia Rapids / Merlin / Triton, and more — to reveal the insights hidden within huge volumes of numeric and textual data. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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hands on big python jobs in New York, Norwood, Massachusetts
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