Data engineer (Databricks)

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using Databricks .
• Build and optimize data workflows using Apache Spark (PySpark/Scala).
• Implement data ingestion from multiple sources (APIs, databases, streaming platforms).
• Develop and manage data lakes and lakehouse architectures .
• Work with cloud platforms such as Amazon Web Services , Microsoft Azure , or Google Cloud Platform .
• Optimize performance of queries and large-scale data processing jobs.
• Ensure data quality, governance, and security best practices.
• Collaborate with data scientists, analysts, and business stakeholders to deliver data solutions.
• Implement CI/CD pipelines and version control for data engineering workflows.

Qualifications

• 5+ years of experience in data engineering or big data development .
• Strong hand...