Responsibilities:Lead cutting-edge data pipeline projects with modern technologies Design & implement scalable data pipelines using Databricks, DLT, dbt, Airflow, and more Collaborate with stakeholders to understand data requirements & deliver high-quality solutions Optimize & maintain data pipelines to ensure quality, reliability, and performanceDevelop & enforce best practices in data engineering, including coding standards & documentation Mentor junior engineers and foster a culture of continuous learning Stay ahead of industry trends and recommend improvements to data engineering practices Qualifications:8+ years of experience in data engineering or architecture Extensive production experience with Databricks, Apache Spark, and big data technologies Expertise in SQL and proficiency in Python, Scala, or Java Familiarity with ELT & orchestration tools (Airflow, dbt, etc.) Strong understanding of data warehousing concepts Experience with cloud platforms (Azure, AWS, Google Cloud) Excellent problem-solving & leadership skills Preferred Qualifications: Experience with machine learning & data science workflows Knowledge of data governance & security best practices Certification in Databricks, Azure, Google Cloud, or related technologiesIf you are passionate about data engineering, we encourage you to apply for this exciting opportunity. #DataEngineering #Databricks #KCJobs recblid 7d1r6day3y129q4bow8q9yk0rfqnos