Job Title: Lead Data Engineer (Databricks) Location: Remote Experience Level: 6–7 Years Employment Type: Full-time Required Qualifications: 6–7 years of experience in data engineering, with at least 3+ years working with Databricks in production environments. Strong proficiency in Python and SQL . Experience with Spark (PySpark/Scala), preferably in a Databricks environment. Experience building and managing data pipelines on AWS , Azure , or GCP . Solid understanding of data lake , data warehouse , and data mesh architectures. Familiarity with modern data formats like Parquet , Avro , Delta Lake , etc. Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus. Strong understanding of data quality, observability, and governance best practices.
Job Title
Lead Databricks Engineer