Jobs → Data & Analytics → Databricks Data Engineer

About the Role We are looking for an experienced Databricks Data Engineer to join our growing data engineering team. The ideal candidate will have strong hands-on experience designing, developing, and optimizing scalable data pipelines using Databricks, PySpark, Python, and SQL. Key Responsibilities • Design, develop, and maintain scalable data pipelines using Databricks • Build and optimize ETL/ELT workflows using Python and PySpark • Develop data processing solutions using Apache Spark • Implement and manage Delta Lake architecture and Delta tables • Integrate data from multiple sources into cloud-based data platforms • Perform data transformation, cleansing, and validation • Optimize Spark jobs and SQL queries for performance • Implement data governance, security, and quality standards • Collaborate with data architects, analysts, and cross-functional teams Requirements • Strong hands-on experience with Databricks • Excellent proficiency in Python, PySpark, and SQL • Strong experience with Apache Spark and Delta Lake • Experience developing complex ETL/ELT pipelines • Knowledge of Lakehouse architecture • Experience with Azure, AWS, or GCP cloud platforms • Familiarity with Git, CI/CD, and workflow orchestration • Strong analytical and problem-solving skills Candidate Eligibility • Candidates must be based in Latin America • Candidates from Brazil are not eligible • Strong English communication skills preferred • Immediate joiners or candidates with short notice periods preferred