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Designs and builds data processing pipeline using cutting edge AWS services, 3rd party open-source/commercial software, and internally developed software to ingest, process, and deliver data at scale.
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As the team grows, we are looking for a savvy Senior Software Engineer to join the team and help build the next generation of Audience & Identity data platform that handles data at scale and uses state-of-the-art technologies to unlock the data’s business value.
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Design, develop, and own robust, scalable data processing and data integration pipelines using Python, dbt, Kafka, Airflow, PySpark, SparkSQL, and REST API endpoints to ingest data from various external data sources to Data Lake. Develop testing frameworks and monitoring to improve data quality, observability, pipeline reliability, and performance Orchestrate sophisticated data flow patterns across a variety of disparate tooling.
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We re looking for a Sr. Data Engineer to help us grow the impact of our team. Strong background in at least one of the following: distributed data processing or software engineering of data services, or data modeling.
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As a Senior Data Science and Analytics Engineer in AbbVie Business Technology Solutions (BTS), you’ll have opportunities to contribute to the digital transformation of a leading biopharma company, helping to create solutions that impact patients and their communities for the better.
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Expertise in Snowflake's cloud data platform, including data loading, transformation, and querying using Snowflake SQL. Experience with SQL-based development, optimization, and tuning for large-scale data processing.
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Understanding of data storage technologies, for example: serialization, schemas, file and table formats for large-scale data processing. The Data Platform team in Apple Services Engineering builds and runs data services, tools, and pipelines to support Apple Music, the App Store, Apple TV+, and more.
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Develop and maintain data processing pipelines using Spark in Databricks notebooks. Sr Data Engineer - Pyspark / Databricks/Senior PySpark Developer. Experience with Apache Spark and big data processing.
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Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Airflow, Redshift, Databricks, EMR. Experience with data warehouse platforms such as Redshift, Databricks, Big Query, Snowflake.
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Advanced knowledge of data processing frameworks like Apache Spark, Hadoop, or similar. About Our Opportunity As the Sr. Data Engineer here at Valenz, you’ll be responsible for designing, developing, and maintaining data pipelines and architectures that support our data-driven healthcare initiatives.
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Experienced of architecting and implementing modern data platform (data lake or data warehouse) with batch and streaming data ingestion and processing on Azure or AWS cloud.
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As a member of the Data Science team, the Senior Data Scientist will engage in statistical and exploratory analysis of datasets such as medical devices data (e.g. insulin pumps and glucose sensors) and smart wearable devices, alongside patient contextual data, and use the insights to build robust classification and prediction models geared toward diabetes management products using advanced artificial intelligence, machine learning algorithms, and/or physiological modeling.
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Bioinformatics experience, especially large scale storage and data mining of variant data, variant annotation, and genotype to phenotype correlation. Be a critical senior member of a data engineering team focused on creating distributed analysis capabilities around a large variety of datasets.
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Experience with stream processing using Apache Kafka. Take pride in software craftsmanship, apply a deep knowledge of algorithms and data structures to continuously improve and innovate. Proven experience (2 years) building and maintaining data-intensive APIs using a RESTful approach.
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Job Description :JOB SUMMARYThis position supervises and participates in the development of batch and real-time data pipelines utilizing various data analytics processing frameworks in support of data science and machine learning practices.
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data processing jobs Title: data engineer sr in Pelham, New Hampshire
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