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Be an expert on Adwerx’s reporting systems and data flows (currently Tableau, Amazon Redshift, DBT, and Apache Airflow), including troubleshooting data issues and implementation of new data streams.
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Knowledge of data warehouse design, Extract, Transform, and Load/Extract, Load, and Transform processes, data governance best practices, and tools including Snowflake, Redshift, dbt, Hevo, and Monte Carlo.
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Looker, Tableau, Mode) You have hands-on experience in building and managing data transformations (dbt experience is a plus) You have experience with cloud data warehouse technologies (BigQuery is a plus.
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Strong knowledge of data management and modern data warehouse - Snowflake and ELT data acquisition/model building tools (Rivery, Fivetran), as well as dbt. Expertise in business intelligence, data visualization and dashboarding platforms (e.g., Tableau, Dataiku, Looker, etc.
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Familiarity with BI tools and platforms (Tableau, Looker, Fivetran, ETL pipelines, dbt, Excel) Develop BI best practices around our data warehouse and ETL pipelines, data architecture, documentation, and data visualization tools (e.g., Tableau, Looker.
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Experience working with data warehousing and ETL tools (BigQuery, Snowflake, dbt, Dataform, etc.) Experience in one or more data visualization tools (Tableau, Data Studio, Power BI, etc.
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This role has production responsibility for the organization’s Epic Operational DB (Chronicles), Cogito Databases (Clarity & Caboodle), Cloud Data Platform (Snowflake), ETL Tools (SSIS, Fivetran, CData, dbt), Analytics Tools (Qlik, Astrato), Epic Cognitive Computing Models and Data Science toolset (Dataiku.
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Experience with Snowflake, Snowplow, DBT, Fivetran, Sagemaker, Looker, Tableau or other similar data technology. Experience with Snowflake, Snowplow, DBT, Fivetran, Sagemaker, Looker, Tableau or other similar data technology.
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4+ years of experience building, optimizing, testing, and orchestrating data integrations, pipelines, and cloud architectures using modern technologies such as AWS Redshift, dbt, Glue, Airflow.
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Previous work or academic experience must have included: SQL; Git; DBT; Linux/Unix Bash Scripting; Python; Azure DevOps Repos; Snowflake; and Tableau. Specific duties include: building backend data tables necessary for analysis, reporting, debugging, validation; using Git for source code management, distributed version control coding enables tracking changes, checkpoints to revert to; using DBT for automating data cleaning, formatting, data pipelines to combine data from multiple sources, etc.
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Looker, Dbt, Snowflake, Netsuite, Salesforce, CloudSQL/MySQL, Python, Flask, Jinja, ES6, Vue.js, Saas, Webpack, Redis, Docker, GCP, Kubernetes, Helmfile, Terraform, Ansible, Nginx. Experience with data analytics and visualization tools like PowerBi, QLik, Tableau, or Looker (preferred.
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Experience with data translation tools (DBT/Google Cloud Dataform) data visualization tools Looker/Looker Studio/Tableau. Experience with data translation tools (DBT/Google Cloud Dataform) data visualization tools Looker/Looker Studio/Tableau.
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Proficient in Data warehouse (On-prems or on Cloud) and Business Intelligence tools such as Power BI, Tableau, Oracle BI, Looker Studio, etc. Having experience in Unit Test Data, GCP Big Query, DBT, Github Actions and Terraform is an advantage.
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Familiarity with a Modern Data Stack (I.e., ETL tools like dbt, Airflow, Fivetran, and cloud data warehouses like BigQuery, Snowflake, Azure, or Redshift). Exemplary analytical problem-solving skills and knowledge of business intelligence tools (I.e., Domo, Looker, Tableau.
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Utilise your expertise in SQL, DBT, Tableau, and GSuite. Design, build, test, and maintain high-quality Tableau dashboards. Strong capability to deliver optimised Tableau dashboards with best-practice visuals, efficiency, and stability connected back to source databases.
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