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TAXWELL
TAXWELL
1 – 10 Darbinieki
FinansesJuridiskie pakalpojumiKonsultācijas
TAXWELL ir specializēts juridisko pakalpojumu uzņēmums, kas konsultē starptautisko un valsts nodokļu, nodokļu strīdu, uzņēmumu apvienošanās un iegādes, kā arī valdes līmeņa jautājumos. Uzņēmums, kas dibināts 2003. gadā, apvieno nodokļu un korporatīvo tiesību juristus ar vairāk nekā divu desmitgažu pieredzi, tostarp zināšanām Augstākās tiesas tiesvedībā un pieredzi darbā Big Four grāmatvedības uzņēmumos. Tā darbība ir vērsta uz sarežģītiem un augstas vērtības nodokļu un korporatīvo tiesību jautājumiem, cieši sadarbojoties ar cienījamiem šķīrējtiesnešiem un starptautiskajiem juridiskajiem konsultantiem. TAXWELL darbojas juridisko pakalpojumu, finanšu un konsultāciju nozarēs, tiecoties uz stabilu un neatkarīgu izaugsmi.
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Vakances uzņēmumā

Analytics Engineer II, Remote in the United States

Build dbt and Snowflake data models for TAXWELL’s digital tax platform. Create dependable datasets, metrics, and pipelines that support business decisions.

USAmerikas Savienotās ValstisAttālinātiPilna slodzeVidējais līmenisVecākais speciālistsNepieciešamā Valoda: angļuAnalītikas inženieris
AWSMākonisPythonSQLTableau

Apraksts

  • Create and maintain reliable, documented data models for reporting, self-service analytics, and business decisions.
  • Work with data engineers, analysts, data scientists, and business stakeholders to turn raw data into reusable datasets and consistent metrics.
  • Build and manage data models and transformation pipelines with dbt and Snowflake.
  • Write and tune SQL queries and transformations for reporting, analytics, and operational use.
  • Manage assigned work from requirements gathering through development, validation, deployment, and ongoing support.
  • Clarify stakeholder needs and turn analytical requirements into accurate datasets and metrics.
  • Coordinate with data engineers to connect new data sources and resolve upstream dependencies.
  • Create and maintain dbt models, macros, automated tests, and documentation.
  • Resolve data quality problems and transformation failures, and improve query and model performance.
  • Help define shared metrics and semantic layers.
  • Keep data definitions, documentation, and lineage current to support governance and self-service analytics.
  • Take part in code reviews and knowledge sharing.
  • Use AI-assisted tools for SQL development, troubleshooting, testing, and documentation, and verify their output.
  • Share progress, dependencies, and risks, and seek guidance on complex or unclear work.

Prasības

  • 3–5 years of experience in analytics engineering, data modeling, business intelligence, or a related data field.
  • Strong SQL skills, including complex joins, window functions, aggregations, query troubleshooting, and optimization.
  • Practical dbt experience, including modular models, testing, documentation, and basic Jinja.
  • Experience with Snowflake or a similar cloud data warehouse.
  • Working knowledge of dimensional modeling, dataset grain, and table relationships.
  • Experience with Git, pull requests, and collaborative code review.
  • Understanding of data quality, automated testing, documentation, governance, and lineage.
  • Ability to deliver well-defined work independently, clarify unclear requirements, and troubleshoot data issues.
  • Experience with AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot, or similar.
  • Ability to explain technical concepts to technical and non-technical audiences.
  • Attention to detail, curiosity, and a proactive approach to solving problems.
  • Experience with semantic layers, shared metric definitions, or data contracts.
  • Experience with modern BI tools such as Sigma, Omni, Tableau, Power BI, or Looker.
  • Familiarity with data ingestion and integration tools such as Fivetran or Matia.
  • Familiarity with CI/CD and automated deployment of analytics code.
  • Experience using Python for scripting or automation.
  • Familiarity with AWS services for data integration and processing.

Priekšrocības

  • A supportive, open, and inclusive workplace.
  • Equal opportunity employment.
  • Disability assistance and accommodations during the hiring process.

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