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Big Data & Streaming: 2+ years using big data and/or streaming technologies (e.g. Apache Spark, Apache Kafka, Apache Flink) Design, develop and deliver scalable, robust and highly re-usable components using technologies such as Python, Java, AWS serverless (Lambda, Glue), Apache Spark, Apache Kafka and REST.
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Design and develop scalable data pipelines using tools like Apache Spark and Kafka. Familiarity with data warehousing solutions (Snowflake, Redshift). We are an innovative technology company revolutionizing data solutions.
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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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Minimum of 3 years of building and operationalizing large-scale enterprise data solutions using one or more third-party resources such as Pyspark, Talend, Matellion, Informatica or native utilities as Spark, Hive, Cloud DataProc, Cloud Dataflow, Apache, Beam Composer, Big Table, Cloud BigQuery, Cloud PubSub etc.
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Lead Machine Learning Engineer - Semiconductor. Machine Learning | Semiconductor Manufacturing | AI | Electrical Engineering | Automation | MLOps | Java | C. Lead the development and deployment of machine learning algorithms for semiconductor manufacturing challenges.
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PhD and 2+ years of relevant research experience in developing machine/deep learning-based solutions and a sincere interest for computational life sciences. The ideal candidate should have an outstanding scientific reputation in the field of machine learning research for computational biology and a demonstrated passion for solving biological problems relevant to drug discovery.
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We are seeking a collaborative bioinformatics and machine learning scientist to join the Computational Design and Predictive Modeling team in Cambridge, MA. You will develop novel bioinformatics and machine learning solutions and apply them to next-generation sequencing (NGS) data to discover and characterize biotherapeutics.
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Excellent knowledge of Python, Spark, and T-SQLHands-on experience on crafting and developing scripts for ETL processes and automation in Azure data factory, Azure Databricks and PySparkGood understanding of data modeling and ability to apply different techniques within a cloud platform.
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The successful candidate will have a strong conceptual/theoretical and practical/hands-on background in mathematics, physics, artificial intelligence, machine learning (including deep learning), or related area and is highly motivated to contribute to scientific and engineering advances in a fast paced, high caliber, entrepreneurial academic setting.
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Demonstrated experience with big data processing systems and distributed computing technology such as Databricks, Spark, Sagemaker, Kafka, Tidal/Airflow, etc. Demonstrated experience with a variety of relational database and data warehousing technology such as AWS Redshift, RDS, BigQuery, Databricks.
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From an Advertising perspective, Identity graph will be used to identify (and map all the identities) and activate marketing activities on different platforms (display, social, email, platforms, etc), reporting and take attribution across website engagement (Websights) activities, to CRM conversion(closed /won deals) What you'll do : Architect and develop large-scale, distributed data processing pipelines using technologies like Apache Spark, Apache Beam, and Apache Airflow for orchestration.
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Fidelity’s Financial Intelligence Unit (FIU) is seeking a motivated Squad Leader/Product Owner with a passion for building business critical Fraud Prevention capability, using a range of data science, machine learning, software and data management technologies and tools.
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Regularly provides advice and expertise to general education teachers and the school community to support the creation of appropriate and effective academic, behavioral, and social/emotional learning experiences for students.
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You will collaborate closely with partners in editorial, product, sales, and implementation to inform the development of engaging digital learning experiences, considering the potential of generative AI. You will champion evidence-based teaching methods, envision equitable digital solutions, and continuously iterate and improve our products based on insights from data and user feedback.
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Field of Study/Additional Specialized Training: Preferably in medical physics, computer science, bioengineering, mathematics, statistics, neuroimaging, or related field; Hands-on experience designing, developing, implementing, and validating software solutions, with a focus on neuroimaging, neuroinformatics and machine learning applications.
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learning apache spark jobs Title: solutions architect Company: Databricks in Boston, MA
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