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Experience with Marketing APIs, Big Query or other Cloud Data Warehouse tools (AWS, Snowflake, Databricks, etc.) Because you love data, you have advanced knowledge of SQL, Excel, Google Data Studio/Data Visualization and enjoy working with SQL on a day-to-day basis.
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Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Data proc/EMR, Cloud Function/Lambda, Big Query/Athena, Big Table/Dynamo.
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Use leading open source big-data tools, such as Spark, Hadoop, Scala and Elasticsearch. Excellent technical skills including hands-on knowledge of at least one big data technology such as Spark, Hadoop, or Elasticsearch.
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Advances in big chemical data, massive computing power, artificial intelligence, and molecular dynamics simulation are changing the way we develop new drugs. At 1910 Genetics, we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, genetics, data science, and software engineering to develop drugs for previously undruggable targets.
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Then come and join our Data & Analytics team at Retail Business Services, a proud company of Ahold Delhaize, a startup environment in the middle of a big corporate office. Exposure to big data technologies.
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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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Demonstrated understanding of enterprise data warehouse, big data, BI & analytics, content management and data management. Facilitate the establishment and execution of the roadmap and vision for information delivery and management; including the enterprise data warehouse, big data, BI & analytics, content management and data management.
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Familiarity with big data processing frameworks such as Apache Spark and experience with programming languages like Python, Scala, or SQL. Continuously evaluate new cloud technologies and data processing frameworks to enhance the feature store's capabilities, including integration with Azure-based services like Azure Data Factory, Azure Databricks, and others.
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Keeping up-to-date with recent developments in data science, cloud computing infrastructures, and AI/ML/DL algorithms. We are looking for a Data Scientist to join our AI and Deep Analytics (AIDA) group, focusing on the modeling and analysis of unstructured text and documents.
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Apply data science expertise in machine learning, deep learning, statistics, text-mining/NLP, forecasting, and optimization to multiple analytics projects. Expertise with core data science languages (predominantly with Python, and nice to have R & Scala), experience working with Snowflake and other different database systems (such as SQL, NoSQL.
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We have particular interest in a scholar with expertise in areas that are existing strengths for Bouve and Northeastern, including, but not limited to technology-based assessment or intervention, artificial intelligence/big data, behavioral neuroscience, behavioral genetics, the genetics of addiction, animal models of addiction, counseling interventions in-person and/or via telehealth, health care policy; and social justice/reduction of stigma.
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We are seeking a candidate with a background in bioinformatics, computational biology, biostatistics, or related field with experience analyzing large genomic and transcriptomic (bulk and single-cell) next-generation sequencing data, leveraging publicly available data from publication and repositories (GEO, TCGA, Ensemble, etc.
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Design, develop, and implement solutions for sanctions screening applications using technologies such as Unix, Oracle, MQ, Big Data - Hadoop, AWS, Databricks etc. Knowledge of Ausosys, Git Hub, Big data is a plus.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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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. Collaborates with other peer organizations (e.g., Business Analyst, Data Modeler, QA, SRE, technical support, etc.
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big data jobs Company: Collabera in Boston, MA
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