Data Engineer

Job Summary

A company is looking for a Data Engineer responsible for designing, building, and maintaining data pipelines and infrastructure.

Key Responsibilities:

• Design, develop, and optimize scalable ETL pipelines using Databricks (Spark / PySpark)
• Integrate data from various structured and unstructured sources into data lake and warehouse environments
• Implement data quality checks, monitoring, and validation processes

Required Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field, or equivalent experience
• 3+ years of experience in data engineering or related field
• Strong hands-on experience with Databricks, Spark (PySpark or Scala), and distributed data processing
• Proficiency in SQL, data modeling, and performance tuning
• Experience working with cloud platforms (e.g., Azure, AWS, GCP) and cloud-native data services