This is a fully remote position, open to applicants in Peru.

• Participate in the development of data solutions

• Understand the impact of data on the business

• Communicate with various stakeholders

• Work independently

• Ensure data quality

• Solve problems in a structured manner

• Propose continuous improvements

• Experience in SQL (intermediate to advanced level)

• Experience in Python (data handling, scripting, transformation)

• Experience in building ETL/ELT processes

• Experience in developing data pipelines (even if they are simple)

• Experience with Azure Data Factory (ADF) or similar tools

• Familiarity with a cloud environment (ideally Azure)

• 2–4 years of experience working with data (Data, technical BI, ETL)

• Practical experience (not just academic) in data ingestion, transformation, and loading

• Knowledge of Azure Databricks

• Basic experience with PySpark

• Basic knowledge of Azure Synapse

• Understanding of Data Lakes (even if conceptual)

• Experience with APIs/data integration

• Proficient in using notebooks

• Basic knowledge of orchestration tools (Airflow or similar)

• [Insert benefits here]

• [Insert additional benefits here]

Data Engineer

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