Database Engineer

Seeking a Data Engineer with 5+ years of experience designing and maintaining scalable ETL/ELT pipelines and modern data platforms. The ideal candidate will have strong hands-on experience with Databricks, Apache Spark, SQL, and Python, along with expertise in cloud-based data architectures and large-scale data processing.Key Responsibilities:Build and optimize ETL/ELT pipelines for analytics and reporting.Develop data solutions using Databricks, Spark, SQL, and Python.Ingest, transform, and integrate data from multiple sources.Support Delta Lake and Medallion Architecture implementations.Improve data quality, monitoring, and pipeline performance.Collaborate with analytics teams to deliver curated datasets.Support migration from legacy SQL environments to cloud platforms.Required Skills:5+ years of Data Engineering experience.Strong Databricks, Spark, SQL, and Python expertise.Experience building production-grade ETL/ELT pipelines.Knowledge of Delta Lake, data modeling, and performance optimization.Experience working with cloud-based data platforms.Preferred Skills:Azure cloud experience.Migration of legacy SQL workloads to Databricks.Airflow, Azure Data Factory (ADF), or Databricks Workflows.CI/CD, Git, and DevOps practices.Experience in gaming, hospitality, fintech, or other regulated industries.