Azure Data Engineer - Remote, Latin America
Remote · Aguascalientes, Aguascalientes, Mexico
Aguascalientes, Aguascalientes, MexicoRemoteFull TimeMid LevelBachelors DegreeUnknown
Type
Full Time
Level
Mid Level
Education
Bachelors Degree
Company size
Unknown
Job Summary
ETL Data Engineer role designing, developing, and maintaining data integration pipelines using Python (PySpark) within Azure Synapse Analytics to ensure accurate, available analytical data. Collaborate with data scientists and analysts to deliver high-quality data, implement data quality checks, tune performance, and contribute to data modeling, data lakes/lakehouses, and governance efforts across projects for a remotely-based Latin America-enabled client landscape.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field
- 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 to effectively extract, transform, and load data
- 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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