TAXWELL
TAXWELL
1 – 10 Darbuotojai
FinansaiKonsultavimasTeisė
TAXWELL yra specializuota teisinių paslaugų įmonė, konsultuojanti tarptautinio ir nacionalinio apmokestinimo, mokestinių ginčų, susijungimų ir įsigijimų bei valdybos lygmens klausimais. 2003 m. įkurta įmonė subūrė mokesčių ir įmonių teisės teisininkus, turinčius daugiau nei dviejų dešimtmečių patirtį, įskaitant Aukščiausiojo Teismo bylų nagrinėjimo ir darbo „Big Four“ apskaitos įmonėse patirtį. Įmonė daugiausia dėmesio skiria sudėtingiems ir didelės vertės mokesčių bei įmonių teisės klausimams, glaudžiai bendradarbiaudama su gerbiamais arbitrais ir tarptautiniais teisės konsultantais. TAXWELL veikia teisinių paslaugų, finansų ir konsultavimo sektoriuose, siekdama nuoseklaus ir nepriklausomo augimo.

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.

Aprašymas

  • 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.

Reikalavimai

  • 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.

Privalumai

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

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