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Experience in developing partner led sales in collaboration with data platform and tool vendorsIn-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc.
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Great to haves: Experience with Databricks or S3 based data lakes Experience writing Python or Scala code Exposure to big data tools: Hadoop, Spark, Kafka, etc. As a Senior Data Engineer, you will help evolve our platform (Databricks) and our partner integrations (HubSpot, Iterable, Appcues, etc.
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Deep expertise in design and implementation of enterprise data store, data warehouse, data governance, data quality management, real-time data ingestion, data modeling, and metadata management, in tools such as Azure Synapses or Snowflake.
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Datawarehousing including SQL DW, Snowflake, Databricks, Redshift, Big Query. Modern Data storage technologies such as Azure DataLake, Databricks and AWS S3. Be responsible for designing, developing and maintaining the data architecture, data models and standards for various Data Integration & Data Warehousing projects in Snowflake, combined with other cloud technologies.
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The individual should be proficient in Azure Data Factory (ADF), Databricks, Snowflake, Power BI, and Azure Git, and possess a strong understanding of data warehousing, ETL processes, and data modeling.
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4) 3 years of experience in the past 4 years in working with years of experience in big data technologies such as Apache Hadoop, Apache Spark, or Apache Kafka. Expert in data integration techniques and data quality processes to ensure data accuracy, consistency, and reliability in the data warehouse.
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Drive the strategy and execution for Clinical Informatics information sharing initiatives including evaluating data quality tools, defining best practices for clinical content translation for automated healthcare workflow optimization.
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Validate data sources, extraction, transformation logic and upload of data into target tables ( ETL pipelines)Design, develop, and implement comprehensive data quality tests to identify anomalies, inconsistencies, and data integrity issues for new product development initiatives, product changes, policy changes, and database changesWork with other engineers and support teams to identify, log, root-cause, triage, prioritize, and drive resolution of defects.
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At least 4 years of experience in data engineering working with Big Data Technologies: Apache Spark, Pyspark, Hadoop, and DataBricks with delta lake. Acquire data from a variety of different sources, getting it in the right formats, assuring that it adheres to data quality standards, and assuring that users can get that data quickly.
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Employ advanced data mining and preprocessing techniques, ensuring data quality and suitability for complex analysis. Big Data Technologies: Experience with big data tools and frameworks like Spark or similar technologies.
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Machine high quality parts within tolerance requirements, on a large CNC Horizontal Boring Mill (HBM). A Machinist works within close tolerance requirements to create high quality parts, adhering to safety and quality standards.
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Programming experience (Matlab, Python) Experience in image processing and analysis Experience with MRI data, in particular diffusion MRI processing and analysis skills Peer reviewed research publications in reputed journals in the field Preferred Qualifications: Experience with MRI data in neurological disorders such as Amyotrophic Lateral Sclerosis (ALS) and Parkinson's disease.
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We have revolutionized the emergency loan market by using sophisticated machine learning (artificial intelligence) and big data to detect fraud and predict payback. Work closely with a team of data scientists to leverage machine learning models to drive business performance.
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Federal Reserve Bank of Minneapolis The Federal Reserve Bank of Minneapolis's Data Privacy Office is seeking a Director of Operations and Support to support the program’s strategic priorities and to ensure Personally Identifiable Information (PII) entrusted to the Federal Reserve System (FRS) is protected in alignment with the System Data Privacy Program Charter, the Privacy Policy, and Federal Reserve Information Security Standards.
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LifeSource is hiring a Data Architect to be responsible for providing comprehensive technical solutions for data integration, data management, stewardship, and data quality for the organization, and provides expertise in the design, implementation and maintenance of the data warehouse and all related extraction, transformation, and load data functions.
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data quality big jobs in Minneapolis, Lawrence, New Jersey
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