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Architect and develop large-scale, distributed data processing pipelines using technologies like Apache Spark, Apache Beam, and Apache Airflow for orchestration. Proven expertise in Apache Spark, Apache Beam, and Airflow, with a deep understanding of distributed computing and data processing frameworks.
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Develop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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You will be using tools such as Spark, Hadoop, Scala, Data Fusion and Elasticsearch, with our platform being hosted on both private and public virtual clouds, such as Google cloud, Microsoft Azure and Amazon.
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Familiarity with big data processing frameworks such as Apache Spark and experience with programming languages like Python, Scala, or SQL. Manulife/John Hancock offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans.
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Comfortable working in the cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark) Comfortable working in the cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark.
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Experience with at least 3 of the technologies/tools mentioned here: HAProxy, Kafka, Big Data/ Hadoop, Presto, Spark, Airflow, Pinot, Druid, Opensearch, Gcp, Data Proc. Experience scaling production systems running Big Data tools like Spark, Hadoop, Apache Druid, Looker.
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Experience with building data pipelines in getting the data required to build and evaluate ML models, using tools like Apache Spark or other distributed data processing frameworks. Experience in Object Oriented Programming (Java, Scala, Python), SQL, Unix scripting or related programming languages and exposure to some of Python s ML ecosystem (numpy, panda, sklearn, tensorflow, etc.
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Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
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Expertise in open source data science technologies such as Python, R, Spark, SQL. Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow.
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Technical challenges on the leading edge of innovation where software and machine learningVideaHealth is supported by some of the best investors in the world, having raised over $27M in Venture Capital from Tier 1 investors such as Spark Capital (Twitter, SnapChat, SmileDirectClub), Zetta Venture (Kaggle), and Pillar VC (PillPack), as well as angel investors such as Frederic Kerrest (Co-founder of Okta.
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We utilize a plethora of open source and industry accepted technologies for our big data problems such as Apache Spark, Apache Storm, Amazon Web services, and Apache Kafka. e Apache Spark or Apache Storm or Celery.
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We are backed by top venture capital funds like Kleiner Perkins, Lux Capital, DCVC, Spark Capital, and others. Perform circuit design, schematic capture, and PCB layout. Lumafield offers both competitive cash and equity compensation, as well as a health & wellness stipend, 401k, parental leave, flexible PTO, commuter benefits, company wide events and more.
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Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi and Kafka necessary to build and maintain complex queries, streaming and real-time data pipelines.
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What you will be responsible forDevelop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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Build quick prototypes using Angular, Java and/or AWS stack using EMR, Snowflake and Spark. Software Engineering and Data Analytics - Intern/Co-op. Build quick prototypes using Angular, Java and/or AWS stack using EMR, Snowflake and Spark.
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spark job in Boston, MA
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