Data Engineer: SAS Migration to Azure Synapse (SQL/Python)

Sysmatch

Lisboa

Presencial

EUR 45 000 - 65 000

Tempo integral

14 dias+
Gerador de candidaturas

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Vantagens oferecidas por esta oferta de emprego

Onboarding support
Regular feedback and growth focus
Competitive salary package
Career development opportunities
Collaborative culture and team events

Resumo da oferta

Sysmatch in Portugal seeks a data engineering professional to translate legacy SAS queries and SAS Query Builder logic into optimized SQL and Python solutions for ADP, reviewing and simplifying complex or outdated logic rather than migrating it as-is.

You will act as the technical bridge between business data analysts and the engineering team, ensuring cloud execution on Azure Synapse with proper filtering to minimize data scans and cloud costs, while collaborating on a prestigious international

Qualificações

  • Strong SQL and Python development skills, including query optimization.
  • Hands-on experience with Azure Synapse and cloud data environments.
  • Minimum 2–3 years of experience.
  • Start date: ideally September.
  • Nice to have: SAS, Power BI, insurance/financial services experience.

Responsabilidades

  • Analyze existing SAS queries and SAS Query Builder logic and translate them into optimized SQL and Python solutions for ADP.
  • Act as the technical bridge between business data analysts and the engineering team, ensuring underlying code meets business intent.
  • Ensure migrated solutions are optimized for Azure Synapse and cloud execution, with correct filtering to minimize data scans and cost.

Conhecimentos

SQL
Python
Query optimization
Azure Synapse
Power BI

Ferramentas

Azure Synapse
Power BI

Descrição da oferta de emprego

Sysmatch in Portugal seeks a data engineering professional to translate legacy SAS queries and SAS Query Builder logic into optimized SQL and Python solutions for ADP, reviewing and simplifying complex or outdated logic rather than migrating it as-is.

You will act as the technical bridge between business data analysts and the engineering team, ensuring cloud execution on Azure Synapse with proper filtering to minimize data scans and cloud costs, while collaborating on a prestigious international

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