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15 часов Π½Π°Π·Π°Π΄

Data Engineer (Azure)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
remote (Ρ‚ΠΎΠ»ΡŒΠΊΠΎ Latam)
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US/Chile
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
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TL;DR
Data Engineer (Azure) (ETL/Data Engineering): Designing and maintaining data integration pipelines with an accent on Python, PySpark, Azure Synapse Analytics, and data warehousing. Focus on optimizing scalable ETL workflows, modeling star schemas in MPP SQL pools, implementing data quality checks, and troubleshooting pipeline performance and reliability.

Location: Remote, Latin America; listed location: ValparaΓ­so, Chile

Company

hirify.global is a software consultancy designing and developing technology solutions for clients across the United States and Central and South America.

What you will do

  • Develop and maintain ETL processes using Python, PySpark, Azure Synapse Analytics Notebooks, and Synapse Pipelines.
  • Design data warehouses and storage structures using star schemas, facts, dimensions, and MPP SQL pools.
  • Extract and transform data from REST APIs, SQL database tables, and CSV files.
  • Build and optimize data models, notebooks, and pipelines for scalability, performance, and SLA compliance.
  • Implement data quality checks, monitoring, troubleshooting, documentation, and data governance practices.
  • Collaborate with data scientists, analysts, architects, and other stakeholders to deliver reliable analytical data.

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent experience.
  • Proven ETL data engineering experience with Python and PySpark.
  • Proficiency with Azure Synapse Analytics Notebooks, Pipelines, Linked Services, and Azure Key Vault.
  • Ability to write complex SQL queries and work with SparkSQL and MS SQL, including query performance optimization.
  • Knowledge of data integration best practices, Git or Azure DevOps, and data security and compliance.
  • Strong problem-solving, analytical, communication, and collaboration skills.

Nice to have

  • Azure Data Engineer or related data engineering and data science certifications.
  • Familiarity with big data technologies, machine learning, and data analysis.
  • Experience with Power BI, Tableau, and Agile methodologies.

Culture & Benefits

  • Remote work within Latin America.
  • Work on varied and challenging projects for clients.
  • Collaborative environment that values quality, customer satisfaction, continuous learning, and professional development.
  • Opportunities for career growth through work with modern technologies and experienced professionals.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’