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Lead the engineering team in designing, developing, and deploying solutions applying modern web frameworks, machine learning solutions, data engineering technologies, microservices, and cloud-native architecture.
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Demonstrated experience with AWS cloud and data management technologies including Amazon S3, AWS Lamda, RDS, Redshift, DMS, Spark, Glue Sql, Hive, CDP Impala, familiarization with Parquet, JSON format, Amazon API Gateway.
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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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Strong Programming skills with good understanding of concepts such as OOPS, design patterns, master data management & Ontology development. Data bases (SQL, NoSQL) and Data Platforms (Databricks, Snowflake.
$220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Key responsibilities for the Data Engineer I include: Builds modular code / libraries / services / etc using modern data engineering tools (Python/Spark, Kafka, Storm, They are aware of, and adhere to, best practice for software development in general (and data engineering in particular), including code quality, documentation, DevOps practices, and testing.
$133,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Proficiency with the Waters Empower Chromatography Data System (CDS) for data acquisition, processing, and management is essential, as is experience working with biologics like antibodies and peptides.
$42 an hourFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Technical Leadership: Provide technical guidance and mentoring to the data engineering team, ensuring that DataBricks solutions are implemented efficiently and effectively. Experience: A minimum of 7 years of experience in data engineering, data architecture, or a related field, with significant experience using DataBricks.
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The ideal candidate will have a Master’s degree in Analytical Chemistry, Organic Chemistry, Physical Chemistry, Pharmaceutical Sciences, Life Sciences, or Engineering, along with at least 2 years of experience in the biotech industry.
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Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes. Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Electronic data captures (EDC) solutions, e.g., REDCap, Encapsia, Oracle Clinical, Medidata Rave. We are looking for a self-directed professional to support Digital Health Technology (DHT) (wearable sensors) and imaging components set-up and monitoring within clinical trials; specifically focused on the operational initiation/set-up, vendor and digital data/imaging monitoring, and data cleaning process efforts that occur within the Biomeasures Endpoints and Study Technologies (BEST) projects.
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7 years of experience, including 3+ years of experience working in data engineering role in an enterprise environment. Demonstrated experience with big data processing systems and distributed computing technology such as Databricks, Spark, Sagemaker, Kafka, Tidal/Airflow, etc.
$234,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The ideal candidate will combine expertise in software engineering management with an understanding of AI, bioinformatics, computational biology, or pharmaceutical sciences. Proven experience in AI, machine learning, or data science, with a focus on applications in drug discovery, bioinformatics, or healthcare.
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Hands-on experience with data monitoring and vendor operations, data collection, data-entry, data-monitoring, data-validation, discrepancy management, data-extraction, and IRB/regulatory requirements.
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O Electronic data captures (EDC) solutions, e.g., REDCap, Encapsia, Oracle Clinical, Medidata Rave. Clinical trial experience involving, operationalizing, deploying and monitoring digital health technologies and imaging associated data.
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data engineering jobs Title: data scientist Company: Amgen in Boston, MA
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