pythonsqldata engineeringetlsparkazure data factorydata pipelinesazure databricksazure synapsechange data capture
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Описание вакансии ясное, но компания является аутсорсинговой, что часто указывает на высокую нагрузку и меньшую стабильность. Кроме того, зарплата не указана, что затрудняет оценку общей привлекательности.
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Аутсорсинговая компанияОграничение по местоположениюЧеткое описание ролиНет информации о зарплате
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Текст:
Hirify AI/Оригинал
TL;DR
Data Engineer (Azure Databricks): Designing and maintaining scalable data pipelines for enterprise analytics, business intelligence, and real-time data integration with an accent on Azure Databricks, Apache Spark, CDC, and Azure data platforms. Focus on building production ETL/ELT workflows, optimizing distributed data processing, ensuring data quality, and supporting downstream Power BI and AI/ML use cases.
Location: Remote in Colombia
Company
hirify.global partners with global enterprises in North and South America to deliver digitization, automation, and next-generation digital products and services.
What you will do
Design, build, and maintain scalable data pipelines using Azure Databricks and Apache Spark.
Develop and optimize production ETL/ELT processes with Azure Data Factory, Azure Databricks, and Databricks Workflows.
Implement change data capture solutions for real-time and near-real-time synchronization using Azure SQL CDC, Debezium, or Databricks native CDC through Delta Live Tables.
Write Python code for data processing and automation, and collaborate with data architects and analysts to translate business requirements into pipeline designs.
Monitor, troubleshoot, and optimize pipeline performance, reliability, data quality, and cost efficiency across Azure Monitor and Databricks observability tools.
Support structured and unstructured data integration, analytics and reporting with Power BI, downstream AI/ML use cases, code reviews, documentation, and engineering best practices.
Requirements
3+ years of experience in data engineering or a related field.
Strong hands-on experience with Azure Databricks and proficiency with Apache Spark for large-scale distributed data processing.
Experience implementing CDC solutions and tools such as Debezium, Azure SQL CDC, or Delta Live Tables.
Strong Python programming skills for data engineering tasks.
Solid understanding of SQL and relational database concepts, particularly Azure SQL Database or SQL Managed Instance.
Experience building and maintaining production ETL/ELT pipelines using Azure Data Factory and/or Databricks Workflows.
Understanding of data modeling and data warehousing concepts, including dimensional and lakehouse modeling in Azure Synapse Analytics.
Strong analytical and problem-solving skills.
Good communication skills and the ability to work across technical and business teams.
Culture & Benefits
Remote work arrangement in Colombia.
Collaboration with cross-functional, technical, and business teams.
Equal opportunity employment.
Reasonable accommodations are available for candidates with disabilities or medical needs during the recruitment process.
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