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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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Expertise in Python and SQL, with working experience in Apache Spark, Databricks, or other big data systems. Distinct experience in big data processing, analytics, and pipelining using Spark is essential, as well as experience in deep learning, generative AI, LLMs, and NLP.This is a hands-on leadership role which involves leading machine learning teams, building best architectural solutions, mentoring and imparting knowledge about machine learning and data concepts and techniques, as well as driving adoption of standards, processes, and tools to achieve high operational efficiency.
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Job Schedulers – Airflow, Oozie or other ETL Scheduler Data Analytics – AWS Cloud Native Services Big data architecture – Python, Scala, Hadoop Bigdata, Hive, Pyspark etc. Data bases (SQL, NoSQL) and Data Platforms (Databricks, Snowflake) Strong skills with Database management, Data modeling and design DevOps and Security CI/CD, Serverless compute, OAuth, SSO, MFA etc.
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Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Informatica, Python, SQL and AWS big data technologies.
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We are bridging OT (operational technology) and IT (information technology) to provide data-driven optimization of facility performance in liquid-related processes (e.g., changeovers, cleaning/flushing, Clean-in-Place optimization, real-time product & ingredient QA/QC, wastewater optimization.
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Reporting to Dr David Levine, the Data Scientist will work across all phases of the research project, including extraction and organization of clinical and other data from a variety of information systems, automated data cleaning and verification, design, administration and construction of databases, analysis using valid statistical approaches, and development of new informatics and clinical tools.
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Position requires a Bachelor’s degree (or an equivalent foreign degree) in Computer Science, Electrical Engineering, IT or a closely related field and 8 years of experience as a Data Warehouse Developer.
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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.
$70,000 - $105,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The post holder will be part of the Data Science & Artificial Intelligence Lab in the Computational Biology cluster and helps to index, integrate, and infer new biomedical insights from massive-scale biomedical big data.
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Mastery of SQL with tools such as SQL Server Management Studio, Oracle SQL Developer, or open-source tools like DBeaver for data querying and manipulation. Capturing and managing metadata information by leveraging metadata management solutions like Collibra Data Governance, Informatica Axon, or IBM InfoSphere Information Governance Catalog.
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Experience with 3rd party pharmaceutical data like IQVIA (IMS Health) Sales Data (DDD, Xponent, NSP, NPA), Affiliation (HCOS), APLD (Medical Claims), and Specialty pharmacy data. Comprehensive Knowledge of Master Data Management (MDM), data governance, and data quality business processes, solutions, and methodologies.
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Tools of the Trade: Proficiency in data modeling tools such as Erwin Data Modeler, IBM Data Architect, or Oracle SQL Developer Data Modeler for creating and maintaining data models.
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Accelerate adoption of the latest technology trends within cloud and big data solutions. Building this data management system will require incorporating and advancing best practices across statistical analysis, cloud computing, system networking, API generation, ontology management, database schema, query optimization, knowledge graphs, and security protocols.
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Required Skills : Snowflake DBT - Data Build Tool - need 1+ years with this ideally SQL Scheduling tool - ideally Tidal but ok for something else like Airlfow. Participate in building out EDW on Snowflake, expanding and optimizing the data ecosystem, as well as optimizing data engineering processes.
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The oligotherapy principal data scientist role is embedded in and directly supports the Oligo Sciences team whose broad remit is the design, characterization, and early development of oligonucleotide therapies.
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big data jobs Title: developer Company: Simventions Inc Glassdoor in Lexington, MA
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