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Design, implement, and maintain complex ETL pipelines using tools such as Apache Spark, Apache Airflow, and AWS Glue for both batch and near real-time data processing. Implement advanced data governance strategies, including metadata management, data lineage tracking with tools like Open Lineage, and comprehensive data cataloging using Datahub.
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Create, maintain and monitor data flows in Spark, Hive, SQL and Presto for consistency, accuracy and lag time. Presto - fast parallel data warehouse and data federation layer. Create different consumers for data in Kafka using Spark Streaming for near time aggregation.
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Apex Systems is looking for a Senior Data Engineer in a fully remote work setting. Master's degree in a technical field (e.g. computer science, math, engineering Understanding of big data and real time streaming analytics processing architecture and ecosystems Experience with data analysis and data visualization tools Software development experience in relevant programming languages (i.e. Java, Python, Scala, Node.js) Relevant technology or platform certification (AWS, Microsoft, etc.
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Minimum of 5 years of hands-on skills in Python, Apache Spark, Hive, Cassandra, Snowflake, Elastic, Lucene, DataBricks, Hadoop, Redshift, Scala, Java, or other relevant technologies in data engineering.
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Knowledge of, or experience with, healthcare data standards such as HL7, FHIR, ICD, SNOMED, LOINC. Comfortable working with unstructured and semi-structured data (Web scraping). As a Principal Data Engineer, you will work within the Informatics team and contribute to Tendo's strategic data engineering solutions by ingesting, transforming, and warehousing healthcare-related data from various sources.
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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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Position Summary: Under theguidance of the Director ofAdmission and Recruitment Marketing, the Generalist/Data Processing Clerk works as part of a team toenable the Office of University Admissions to meet its enrollment goals by processinginquiries, applications and documents quickly, efficiently and accurately.
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For over 25 years Axion Data Services has been an industry leader in providing data entry outsourcing services, data verification, and internet data research services to companies nationwide.
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Be the company's expert on data administration and master data management. Have good working knowledge of AWS data infra systems and Terraform. Bring a system-oriented and software engineering mindset to the Data Engineering practice.
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Perform bioinformatics analysis of genomic data obtained from clinical samples, including next-generation sequencing (NGS) data, microarray data, and other relevant data types.
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Experience with big data technologies (Spark, Clickhouse, Redshift, Snowflake etc.) Define data engineering standards and best practices and drive operational excellence. Proven success in communication with database users, software engineers and senior management to collect requirements, discuss data modeling decisions and define data engineering strategies.
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Designs, develops, and implements ETL/ELT processes using Azure Data Factory, Synapse pipelines, Databricks Notebooks, Event Hub to build integrations from Saas sources such as Service Now, Workday, Dynamics CRM, and Eloqua.
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We are seeking a skilled Sr. Martech Software Engineer with expertise in marketing technology platforms (CRM or CDP) such as Adobe Experience Platform (AEP) or similar (e.g. Salesforce, Dynamics, etc), coupled with strong skills in building custom solutions on AWS, proficiency in API development using languages like Python or Java, and some experience in data engineering.
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Design, build, and maintain an efficient and flexible data ingestion framework that allows internal product, engineering, and operations teams to contribute data sources (new or updated) into GCP and BigQuery.
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ETL/ELT Development: Build and optimize ETL/ELT processes and work within Cloud technology such as Azure and Databricks to ensure efficient data extraction, transformation, and loading while maintaining data quality, consistency, and integrity.
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data job Title: administrator Company: Local Staffing in Elkins Park, PA
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