Data Engineer Databricks

This is a Full Remote job, available from Argentina.

Job Description

Be part of Stefanini! At Stefanini, we are more than 30,000 geniuses, connected from 41 countries, doing what we are passionate about and co-creating a better future.

Don't miss out on this opportunity!

Why we will choose you? Because the challenges you will face reflect your ambitions!

Responsibilities and Assignments

Responsibilities:

• Design, develop and maintain robust and scalable data pipelines.
• Implement ETL/ELT processes for data integration and transformation from multiple sources.
• Develop solutions using Databricks and Apache Spark.
• Build and optimize Lakehouse and Data Lake architectures.
• Ensure data quality, consistency and availability.
• Work with Data Analytics, BI, Data Science and business teams.
• Participate in performance optimization, monitoring and data governance initiatives.
• Collaborate in the design of cloud-aligned data engineering solutions.
• Document developments, processes and implemented solutions.

Requirements

Requirements:

• More than 4 years of experience as a Data Engineer.
• Solid experience working with Databricks in production environments.
• Proficiency in Python.
• Advanced experience in SQL.
• Solid knowledge of Apache Spark / PySpark.
• Experience developing ETL/ELT processes.
• Experience working with cloud platforms (AWS, Azure or GCP).
• Git management and collaborative development methodologies.
• Intermediate-advanced English (participation in global team meetings).

• More than 4 years of experience as a Data Engineer.
• Solid experience working with Databricks in production environments.
• Proficiency in Python.
• Advanced experience in SQL.
• Solid knowledge of Apache Spark / PySpark.
• Experience developing ETL/ELT processes.
• Experience working with cloud platforms (AWS, Azure or GCP).
• Git management and collaborative development methodologies.
• Intermediate-advanced English (participation in global team meetings).