LATAM/ India - Data Brick Engineer

Required Skills & Experience

Hands-on Databricks experience Candidates need actual development experience within Databricks, not simply exposure to the platform.

Informatica experience Strong Data Engineering background Building and maintaining production ETL/ELT pipelines Data ingestion, transformation, integration, and troubleshooting

Python and SQL Strong SQL skills for data manipulation and transformation Hands-on Python/PySpark experience for data engineering workloads

Enterprise data integration experience Experience integrating data across multiple systems and sources Understanding of data quality, mapping, transformations, and dependencies

Nice to Have Skills & Experience

Migrating from Informatica into Databricks Apache Spark / PySpark expertise Databricks Delta Lake / Delta Tables Unity Catalog experience Cloud experience with Azure, AWS, or GCP Experience modernizing legacy enterprise data platforms Data governance or data architecture exposure Experience working across global/offshore development teams Experience supporting data platforms that feed AI/ML or GenAI initiatives Databricks certifications

Job Description

We are seeking Databricks Data Engineers to support a large-scale data modernization initiative. The organization is actively transitioning and needs engineers who can help build, migrate, and modernize enterprise data pipelines within the Databricks environment.

The engineers will work across data integration and transformation initiatives supporting several active business projects. Candidates should have strong hands-on data engineering experience and be comfortable working with distributed teams while supporting Eastern Time business hours.

Depending on seniority, responsibilities will range from hands-on pipeline development and troubleshooting to owning complex integrations, providing technical direction, and helping establish best practices around Databricks.