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A robust understanding of core data engineering topics – ETL vs ELT, structured and unstructured data, data quality and data governance. The teamThe US data engineering chapter is a professional practice of data and data quality engineers.
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Build processes to help identify and improve data quality , consistency and effectiveness. Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow.
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Automation and orchestration experience with Visual Studio/VS Code, Azure Data Studio, Git, Azure DevOps, Ansible, Bicep, or Terraform is a plus. Proficiency in implementing data services including Microsoft Fabric, Azure Synapse, Databricks, Azure Data Lake, Azure Data Factory, and Self-Serve Analytics with Semantic Data Models Power BI Premium.
$203,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Evaluate and enhance data quality and reliability. Experience designing Data Warehouse/Data Lake, Cloud Based Technologies (AWS - Data Migration Service, Glue, S3, EC2, Lambda, Step Functions, Document DB, RedShift / Spectrum.
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Integration: Integrate Azure Databricks with other Azure services such as Azure Data Lake Storage, Azure Synapse Analytics, and Azure SQL Database, as well as third-party tools and data sources.
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Implement methods and procedures for tracking data quality, completeness, redundancy, compliance, and continuous improvement. Preferred Skills Production experience with core data platforms such as SQL Server, Databricks, Azure, Spark, and Hadoop.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, and data visualization tools. Currently, we are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers for full-time positions with clients.
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The Data Architect will work closely with the Program Manager, Cloud Solutions Architect, data engineers, and data analysts to support multiple public health project teams in their full data management cycle including data ingestion, data cleansing, data transformation, data security, data exploration, and data visualization using Microsoft Azure tools and technologies.
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Analyzes and evaluates data fields of GCIC/NCIC records in department. Inquiries against confidential criminal justice data bases for compliance with the Rules of the GCIC Council, federal and state laws and operational procedures.
$39,382 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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Experience working on QA QC Aspects of new Data Center Construction. 10+ years of Electrical Data Center Construction. Minimum 5 years of data center construction experience. 5+ years of Data Center Construction experience.
$225,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Proven understanding of modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution and processing (Kafka, Flink), and modern data warehouse tools (Snowflake, Databricks.
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Strong proficiency in data visualization tools (e.g., Tableau, Power BI, and others) Expert in SQL development for both data modeling and ad hoc querying Experience in data modeling and supporting tooling such as dbt or sqlmesh Experience using cloud-native data warehouse solutions such as Snowflake or Databricks Experience managing a team of analysts, with a demonstrated ability to lead and develop talent.
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This position will include exposure to the full investigative process, in which a successful candidate will be responsible for collecting factual data, such as damage data, injury information, meteorological conditions, crew background, human performance data, flight recorder data, and other relevant investigative data.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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data job Title: data quality Company: Citi in Atlanta, GA
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