Senior Data Engineer (Databricks / Spark)

Required Experience & Qualifications

Bachelor's degree in Computer Science, Data Engineering, Data Science, Mathematics, Statistics, or a related field (or equivalent practical experience).

5+ years of experience in Data Engineering.

Strong software engineering background with extensive hands-on coding experience.

Advanced proficiency in Java or Python.

Strong experience with Apache Spark (PySpark or Spark using Java).

Proven experience building production-grade data pipelines.

Experience with Databricks in enterprise environments.

Strong SQL skills and experience with relational databases such as PostgreSQL or MySQL.

Experience with data modeling, data warehousing, and large-scale data processing.

Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.

Experience with orchestration and pipeline tools such as Apache Airflow.

Strong problem-solving and debugging abilities.

Excellent communication and collaboration skills.