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Skills: Deep understanding of GCP services including BigQuery, Dataflow, Pub/Sub, Cloud Storage, and IAM. Proficiency in data modeling, ETL processes, and data warehousing. Proficient in SQL, Python, and data visualization tools like Looker or Power BI.
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Data Warehousing (e.g., AWS Redshift, Google BigQuery) Apache Hadoop or Apache Spark (for big data processing) Natural Language Processing (NLP) Tools and Frameworks (e.g., Hugging Face, AWS Comprehend Medical for extracting insights from clinical text data.
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Minimum 4 years of experience with ETL/ELT design and development using tools like Talend, Informatica, AWS Glue, Oracle Data Integrator (ODI) or equivalent. Minimum 2 years of experience with large-scale data processing platforms such as Spark, EMR, and/or HPC computing experience with e.g. Apache Aurora, Slurm.
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Design and manage data models in Snowflake and BigQuery to support business intelligence and analytics. Strong experience with Snowflake , BigQuery , and other data warehousing solutions.
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Experience with Vertica or other columnar database, and understanding of unified data analytics platform like Snowflake, Databricks etc. 2+ years of experience in building, designing data applications leveraging AWS Cloud services and tools like S3, Lambda, Glue, Aurora, Athena etc.
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Must have good work experience knowledge in ADLS ADF Snowflake Databricks Azure AIML Purview APIs Collibra Data processing in Azure cloud. Minimum of 15 years IT experience in Data BIA solution architecting of which at least 3 years in Azure Snowflake Databricks.
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Good experience in Data architecture data warehousing architecture ETLELT parallel and multiprocessing APIs Streaming and real time data integration. Expertise in deploying Snowflake features like Data Sharing.
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Conducts data analysis (SQL, Excel, Data Discovery, etc.) Conducts data lineage and impact analysis as a part of the change management process. Implement and maintain data governance policies and procedures to ensure data quality, security and compliance.
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O Electronic data captures (EDC) solutions, e.g., REDCap, Encapsia, Oracle Clinical, Medidata Rave. Innova Solutions is immediately hiring Data Operations Manager/ Clinical Data Manager.
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Relevant Terms: IP, intellectual property, technology transactions, agreements, data privacy, cyber-security, privacy rights, data security, software, patents, licensing, license contracts, SaaS, CIPP, Certified Information Privacy Professional, due diligence, M&A, mergers and acquisitions.
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As the QuickBase Data Operations Manager, you will empower the company to better understand its operations and the outcomes of its services on low-income children and families across Massachusetts.
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Participates as an active member of cross functional clinical study teams, program level teams, submission teams and provide expert guidance on CDM, CDISC and data quality. ·Ensure the activities described in the Data Management Plan (DMP) are executed in accordance with the DMP, including data acquisition, data transfer, data reconciliation and review, medical coding, data extract and rolling data freeze, data lock and database lock.
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Oversee the development of study-specific CDM documentation such as eCRF specifications, eCRF completion guidelines, edit check specifications, and data management plans identifying and mitigating risks to data quality and proper inclusion into the Trial Master File (eTMF.
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Working knowledge of dashboard data visualization including: AWS Quicksight, Google Looker, and/or Microsoft Power BI. We are specifically looking for someone who understands the role of the digital analytics director and the critical part that this team will play in scaling the digital transformation at SBNA. This person should be completely at home helping build and grow a team that can both lead in the data collection and syndication, as well as in the insights and analytics necessary to drive growth and improve customer experience.
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5 years experience as Chief Data Officer or Chief Digital Officer in an AI-driven techbio company, leading computational theoretical chemistry, computational medicinal chemistry, computational biology, bioinformatics, and digital biology.
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Title: data Company: Dice in Boston, MA
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