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Nice to have:B.S., M.S., or PhD in a related fieldPublications at conferencesExpertise with either big data infrastructure (e.g. Hadoop/Spark/Flink/Kafka/Airflow/Presto) or with using big data technologies for data processing, ETL, reporting.
Full-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Specialized training in Data Engineering, Data Science, Machine Learning, Big Data Platforms (Spark, Kafka, Hadoop, H2O, etc.) LICENSING/CERTIFICATION Any certification specializing in data engineering, big data, data science, machine learning, artificial intelligence, or statistical analysis from accredited institutions of higher learning.
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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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Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and (GCP, AWS, Azure, Snowflake) ‘big data’ technologies.
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Must have some experience with: Data analytics with Python programming; Data science solutions using Snowflake; Database development using Hadoop, SPARK, or BigQuery; Big data development using Hive, Impala, Spark, and Kafka; Mining platform solutions using data analytics and forecast algorithms; AND Agile scrum methodology to develop and support solutions using Big Data platform.
Full-timeExpandUpdated 22 days ago - UpvoteDownvoteShare Job
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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plusPrior domain experience of Life Insurance, Annuity or Financial Services is a plusAWS Certifications are considered a strong plusExcellent verbal and written communication skills.
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Experience with financial datasets (e.g. Refinitiv, S&P, Bloomberg) is a big plus. Hudson River Trading (HRT) is looking for a Data Production Engineer to join our Algo team. Onboard datasets, explore data, and automate tasks using a modern Python data stack.
$150,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Advanced Analytics - Applied Econometrics, Advanced Calculus, Statistical Methods, Data Visualization, Decision Analytics & Optimization, ML, Big Data, Social Network Analytics. Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP.
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Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R) Drive the adoption of data science-driven mechanisms and machine learning models to continuously evaluate and improve catalog data quality.
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Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT. The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from analytics/data engineering and product analytics to machine learning.
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Building automation monitoring tools for Big Data and working with data engineering-related tools and technologies, including: Kafka, Data Warehouses, and Apache Airflow.
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The company utilizes cutting-edge cloud-based technology, including AI, Robotic Process Automation (RPA), IVA and bots, Actionable Analytics and reports leveraging Big Data, and more. The company utilizes cutting edge cloud-based technology, including automation (RPA), Actionable Analytics, NLP, Chatbots, Big Data and more.
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Experience using Big Data or Cloud integration technologies such as Databricks, Matillion, Azure Data Factory, AWS Glue, AWS Lambda, etc. Sr Data Engineering Consultant. Expertise and hands-on experience developing and deploying SQL, Python, and Spark-based data pipelines into production environments.
Full-timeExpandUpdated 23 days ago - UpvoteDownvoteShare Job
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. As a member of the Data Engineering - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting.
$147,500 - $195,000 a yearFull-timeExpandUpdated 23 days ago - UpvoteDownvoteShare Job
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Utilize cutting-edge big data technologies and tools such as Spark, Hive, Python, Databricks, Snowflake, and other related frameworks to handle, process, and store large volumes of structured and unstructured data.
Full-timeExpandUpdated 22 days ago
big data jobs Title: data manager Company: Pearson
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