15 ΡΠ°ΡΠΎΠ² Π½Π°Π·Π°Π΄
Data Engineer (Azure)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
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
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
- Bachelorβs 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.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β
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