Azure Data Engineer - Remote, Latin America
Remote · Cali, Valle del Cauca Department, Colombia
Job Summary
Azure Data Engineer for a remote LATAM role focusing on building and maintaining data integration pipelines and data warehousing solutions. Responsibilities include developing and maintaining ETL processes using Python (PySpark) within Azure Synapse Analytics notebooks/pipelines, designing scalable data storage in star schemas, extracting data from REST APIs, SQL tables, and CSV files, and applying data fabric concepts like data lakes and lakehouses. You will model data, implement data quality checks, optimize performance to meet SLAs, monitor jobs, document data flows, and collaborate with data scientists, analysts, and stakeholders while ensuring security and governance. Preferred qualifications include Azure Data Engineer certifications, strong SQL and SparkSQL skills, version control with Git, and familiarity with BI tools like Power BI or Tableau; Agile experience is a plus.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field; or equivalent work experience
- Certifications related to data engineering or data science (e.g. Azure Data Engineer) being a plus
- Proven experience in ETL data engineering with significant expertise in using Python (PySpark) to perform data extraction, transformation, and loading from REST APIs, SQL database tables, and CSV files
- Proficiency in using Azure Synapse Analytics resources including Notebooks, Pipelines, Linked Services, and Azure Key Vault
- Demonstrated ability to write complex SQL queries, optimize query performance, and work with both SparkSQL and MS SQL
- Knowledge of data integration best practices and tools
- Experience with version control systems, such as Git (Azure DevOps)
- Strong problem-solving and analytical skills, with a keen attention to detail
- Excellent communication skills, both verbal and written, with the ability to work collaboratively in a team environment with shifting priorities
- Familiarity with big data technologies, machine learning, and data analysis preferred
- Experience with data visualization tools (e.g. Power BI, Tableau) and Agile Methodologies a plus
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