Job Details

Databricks Engineer / Big Data Engineer

We are looking for a motivated and goal-oriented Databricks Engineer to join our team.

The Databricks Engineer is responsible for designing, building, and maintaining scalable data pipelines and solutions on the Databricks platform. They collaborate with data scientists, architects, and analysts to ensure high-quality, efficient, and reliable data processing.

Key Responsibilities:

Develop and maintain ETL/ELT pipelines using Databricks and Apache Spark. Transform raw data into structured formats for analytics and machine learning.

Optimize performance of Databricks notebooks and workflows.

Integrate Databricks with cloud services (AWS, Azure, or GCP) and other data sources.

Implement data quality, validation, and monitoring processes.

Collaborate with data scientists to support ML model training and deployment.

Requirements:

25 years in data engineering roles, preferably with Databricks.

Strong experience with Apache Spark, Python, Scala, or SQL.

Hands-on experience with Databricks notebooks, Delta Lake, and MLflow.

Knowledge of cloud platforms (Azure Databricks, AWS, GCP).

Understanding of data warehousing, data lakes, and big data concepts.

English level B2 or higher conversational (will be validated).

100% Remote Remuneration in dollars Stability and growth opportunities.

If you're ready to turn data into game-changing insights, we want to hear from you! Apply today.