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In addition, the Scientific Affairs Administrator will be responsible for supporting ZOLL's research efforts through reviewing and interpreting medical data, including ECG data, found within patient charts and device recordings.
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Collaborates with the serving team, report team, and Data engineers to translate complex product requirements into working high-quality cloud-native data solutions. Must be proficient in SQL and understand different data modeling techniques using Big Data frameworks such as Presto/Snowflake/Databricks.
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Familiarity with data cataloging and classification, data quality, and metadata management. Collaborate with cross-functional teams to understand data requirements and deliver high-quality solutions.
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Solid understanding of data security principles, data governance, master data management, data quality, and data cataloging solutions. Lead the development of data platforms and data engineering pipelines by establishing patterns and supporting the delivery team to ensure the quality of the solution.
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Education: Building Performance Institute Certifications: Energy Auditor or Quality Control Inspector or equivalent work experience. The Trainee Energy Auditor & Inspector will support ICAST's Energy Auditing and Quality Control Inspection staff while gaining hands on field experience.
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Experience with pipeline orchestration software (e.g. Airflow, Dagster, Prefect) and data streaming technologies (e.g. airbyte, datastream, artie, fivetran, or your own flavor), especially in a cloud data environment, such as AWS, Azure, or GCP is essential for this role.
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8+ years of experience architecting data warehouses such as BigQuery, Redshift, Databricks. Develop ETL batch data pipelines with BigQuery or similar and orchestrate with modern orchestration tools (Airflow, Puppet.
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Extensive experience working with various data technologies and tools such as Airflow, Snowflake, Meltano, Fivetran, DBT, AWS, and Looker. By establishing HackerOne's one source of truth and developing data products and solutions on this foundation, we help our Hackers, Customers, and Hackeronies gain insights and make better decisions, thereby empowering the world to build a safer internet.
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10+ years experience in data engineering with data warehouse technologies. As a member of our data engineering team, you'll be setting standards for data engineering solutions that have organizational impact.
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Monitor and provide transparency into data quality across systems (accuracy, consistency, completeness, etc) Create, maintain and monitor data flows in Spark, Hive, SQL and Presto for consistency, accuracy and lag time.
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The Naval Nuclear Laboratory’s (NNL) Naval Training & Simulation (NTS) organization is seeking a highly motivated System Administrator to join our Simulation IT team. The NTS Simulation computing environment is dynamic and multifaceted where we develop highly available, resilient, and secure IT solutions that blend traditional IT technologies (Virtualization, MS Server/Client, Active Directory, Cisco, Palo Alto, and Linux) with a wide variety of first-of-kind Simulation applications, platforms, and emerging technologies.
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AWS cloud services: EC2, EMR, RDS, Redshift (or Azure equivalents) Data streaming systems: Storm, Spark-Streaming, etc. 2-4 years direct experience in Data Engineering with experience in tools such as: Big data tools: Hadoop, Spark, Kafka, etc.
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Experience developing standards for database design and implementation of various strategic data architecture initiatives around data quality, data management policies/standards, data governance, privacy and metadata management.
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Design, develop, and maintain scalable data platforms using AWS, Snowflake, and Databricks. The Data Engineering team is focused on building platforms and capabilities that are utilized across the organization by sales, marketing, engineering, finance, product, and operations.
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As a data engineer on Kustomer's Engineering team, you will be responsible for growing our business by leveraging advanced data-engineering techniques to enhance our data architecture and streamline data-ingestion processes.
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administrator data quality jobs in Pittsburgh, PA
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