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Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow. 5+ years in data engineering with detailed knowledge of data warehouse technical architectures , infrastructure components , ETL ELT.
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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.
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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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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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Previous roles in data entry, data analytics, financial analysis, fraud detection, or investigative analysis are highly valued. Perform detailed data entry and data analytics tasks related to financial transactions.
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Note: Data Annotation payment is made via PayPal. We will never ask for any money from you. Fluent in English● A bachelor's degree (completed or in progress)● Excellent writing and grammar skills● Strong research and fact-checking skills to ensure accuracy and originality● Previous experience as a Freelance Writer, Content Writer, Editor, Copywriter, Copy Editor, or those with experience in journalism and/or media is preferred but not required.
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Certified Analytics Professional (CAP), Data Science Council of America (DASCA), Principal Data Scientist (PDS), SAS Big Data Professional, Microsoft Certified Azure Data Scientist Associate, or equivalents.
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Experience with protein purification, molecular biology, biochemistry and/or cell-based experimental techniques is required, with a preference given to researchers with experience with assay development and high-throughput screening, high-content imaging, and/or pharmacological concepts/data analysis.
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The People Analytics team is globally respected as a leader in its field and is dedicated to staying on the cutting edge of business intelligence and data science methodology and technology. As such, we've built a world class People Analytics and Measurement team to optimize people management and facilitate data-driven decision making.
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The Power BI Developer will manage data, assist in data analytics, create and manage critical dashboards, and execute other analytical outputs. Ability to effectively prioritize, execute tasks in high-pressure environments and manage workloads Create data models and write queries to extract data from various sources Proficient in Power Query and DAX Stay updated with industry best practices and trends in Power BI and data visualization.
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Good experience on Azure Purview integrating data pipelines with Purview for Data lineage, experience with Microsoft Fabric, migrating the application from Azure Data Factory and Azure Synapse to Microsoft Fabric Implement robust data security measures, including encryption, access control, and data masking.
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Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka. Expertise in architecting, designing, and building end to end data platforms in the GCP environment using BigQuery and other services while adhering to best practices guidelines such as open standards, cost, performance, time to market and minimize vendor lock.
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Data Pipeline Development : Design, develop, and optimize scalable data pipelines using Microsoft SQL Server, Snowflake, and Airflow. Proven experience in building and managing large-scale data pipelines, with specific experience using Microsoft SQL Server, Snowflake, and Airflow being a plus.
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This may include, but is not limited to: Voter registration, voter education, GOTV Relational organizing Coordinating and cutting turf with funders and partners Managing data and the associated digital tools Doing in-person and digital direct voter contact Support young people and other volunteers do direct voter contact This description reflects ACE’s assignment of essential functions, it does not restrict the tasks that may be assigned.
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Videography; Influencing; Social Media; Waterfall Project Management; Programmatic (Inactive); Paid Search Marketing; Marketing Campaigns; Creativity (Inactive); Marketing Strategies; Data Driven; Digital Media; Microsoft Office; Group Problem Solving; Search Engine Optimization (SEO); Communication; Google Analytics; Teamwork; Search Engine Marketing (SEM); Digital Signage; Negotiation; Connections Planning; Agency Management.
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data job Company: Tephra in Atlanta, AL, Australia
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