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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Experience engineering big-data solutions using technologies like EMR, S3, Spark, Databricks.
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The ideal candidate will be adept in web scraping, data quality assurance using AI, data integration, ensuring data security and compliance, and maintaining detailed documentation.
ExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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The Lead Master Data Analyst will play a pivotal role in driving the technology and master data operation standards for data management solutions throughout Huntington Bank. The Lead Master Data Analyst is responsible for helping lead the defining, processing, documenting, and monitoring of master data requirements for key business data domains with the goal of supporting continuity of business operations and improving business analytics with clean and trustworthy data.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Desired : experience with data pipeline and workflow management (Airflow, Composer). Experience with data lakes and data warehousing solutions ( Spark, Dataflow, BigQuery ). Data Engineer (one day a week in the central London office.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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At least 5 years of combined hands-on professional experience with either traditional RDBMS (MSSQL, Oracle) or cloud-based data warehousing platforms (Snowflake, AzureSQL/Synapse, Redshift, BigQuery) including expertise with architectural elements such as keys, constraints, and clustering.
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Experience in Data science, machine learning, or optimization models Experience in Python, Spark, Scala, or R, using open source frameworks (for example: scikit learn, TensorFlow, Pytorch) You are knowledgeable of databases, data warehouse design, cloud storage, and ETL best practices.
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Our high-performing team works with clients to implement the full spectrum of data analytics and data science, ranging from data architecture design, data engineering and querying, data visualization and dashboarding, predictive analytics, machine learning, and artificial intelligence.
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Analyze and implement data quality rules for Data Lake tables to monitor different data quality dimensions and health of the data including the Informatica tool IDQ. Harvest and capture technical and business metadata for data cataloging using tools including EDC and Axon. Follow and prepare change control process as part of SDLC for production deployment.
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Experience reviewing in-vivo and in-vitro data including, but not limited to, inhalation, pathology, chemistry, PCR, and ELISA. The Data Coordinator is responsible for maintaining study files, reviewing data in real time, and ensuring that SOP, Protocol, and GLP requirements are met.
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Proficiency in a variety of data analysis tools such as Google Analytics, GTM, Looker Studio, Domo, and a familiarity of digital marketing metrics is required. Create and implement digital data strategy plans aligned with project goals.
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Data warehouses and file stores such as Snowflake, RedShift, Teradata, BigQuery, Amazon S3, Amazon RDS, Azure Synapse, Databricks Lakehouse, etc. MS, or PhD in Computer Science, Computational Mathematics, Applied Mathematics, Engineering, Data Science, Statistics or equivalent.
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Hand-on knowledge of ETL and data warehouse technologies (i.e. dbt, Databricks, BigQuery, Redshift, Airflow, Snowflake) We’re looking to hire a Data Scientist to take the lead on advanced analytics and predictive modeling to serve the needs of our business today and for a broader scale years from now.
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Workforce Development Council of Seattle - King County seeking a grant-funded Workforce Data Analyst to contribute to the mission of system transformation and racial equity in workforce development by creating trend, demographic, and process analysis reports; developing and maintaining project performance reports; and developing, planning, and conducting research projects to analyze the impact of the regional workforce development system.
$85,536 - $120,360 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Experience with cloud and big-data tools and frameworks like Databricks/Spark, Airflow, Snowflake, etc. Expertise designing and developing with distributed data processing platforms like Databricks/Spark.
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The Computational Biology group in the Clinical Biomarkers & Diagnostics (CBD) department at Company is seeking a highly motivated Sr data scientist to join our team and contribute to develop machine learning modeling and prediction pipelines using multi-modal biomarker data from clinical trials.
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Title: data Company: Applied Resource Group
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