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Role: Sr. BIG Data Solutions Architect. Demonstrated understanding of enterprise data warehouse, big data, BI & analytics, content management and data management.
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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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Understanding of data concepts, including data design and modelling, as well as SQL, BI tools (Excel, Tableau, Looker, or Power BI) and Big data. The Investment Data Architect is a critical new responsibility that will serve as the key front office business owner for data management on behalf of the Global Atlantic Investments office.
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Hands-on development experience with Design and Architecture of big data frameworks/tools: Azure Data Lake, Snowflake, Azure Data Bricks. Expert in Azure cloud computing, specializing in Azure data engineering stacks like ADF (Azure Data Factory), ADLS, Event Hubs, Snowflake, Databricks, streaming, Azure PowerShell, and Log Analytics.
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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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Define and deliver consistent SQL standards, methodologies, guidelines & techniquesDiagnose complex problems, including performance issues and work with seniors for implementing long term solutionsWorking knowledge on Datawarehouse is a mustUnderstanding of Big Data Technologies is preferred, especially on Databricks implemented in AWS Cloud infrastructure.
$110,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Skills and Knowledge: Candidate must also possess: Demonstrated Expertise (“DE”) designing, developing, testing, and implementing enterprise analytics platforms into Snowflake using Control-M jobs, Apachi Nifi, Apache Kafka, JavaScript, SnowScript, and Snowflake Tasks; and deploying data migration conversion scripts using GIT, Bit Bucket, and Jenkins Core pipelines.
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Familiarity with healthcare data standards (e.g., SNOMED, LOINC, ICD-10, CPT) and data exchange formats (HL7, FHIR) as well as knowledge of healthcare data privacy and security regulations, such as HIPAA and HITECH.
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Experiences in healthcare datasets (e.g., Komodo, IQVIA, Symphony, Truven, Optum, Flatiron, Charge Master, Lab, Provider and Payer data) Experiences in data visualization tools (e.g., Tableau, PowerBI, Qlik Sense.
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We are seeking a Vice President, Data Science to join the Fidelity Digital Asset Management business and report directly to the Head of Digital Asset Operational Capabilities. Proficiency in complex data extraction or processing using Python, SQL, Snowflake.
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Qualifications 4+ years of experience in a technical sales or consulting capacity with enterprises, focusing on complex solution sales of mission-critical data systems (databases, data warehouses, big data systems, analytics, and/or machine learning.
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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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Vendor certification (Azure Data Engineering, PowerBI certifications, Snowflake Certifications.) Utilize experience on various BI and data tools like PowerBI, Azure Data Engineering methodologies (ASQL, ADF, ADL, Logicapp, etc.
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Job Description We are looking for a Data Scientist to join our Risk Data Science and Analytics Team. You will improve our risk controls through advanced statistical and analytical techniques.
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Building data processing pipelines to integrate large datasets from multiple sources and formats, in both streaming and batch mode; Designing and developing data pipelines from ingestion to consumption within big data architecture using Python, Java, SQL etc.
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big data jobs Title: big data architect in Cambridge, MA
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