We are seeking a seasoned Senior Data Engineer with 10+ years of experience in designing and implementing large-scale data solutions across cloud and on-premises environments. The ideal candidate will be proficient in modern data integration frameworks and skilled in building scalable, high-performance data pipelines. Key Responsibilities: Design, develop, and implement robust data pipelines and ETL solutions for Snowflake Cloud Data Warehouse. Integrate data from various sources using tools like Qlik, dbt, and traditional databases (Oracle, SQL). Utilize programming languages such as Python, Java, or Scala to create custom data workflows. Collaborate with stakeholders to support end-user testing and ensure data integrity. Conduct data validation, quality checks, and analytics to maintain high standards of reporting. Follow established IT policies, security standards, and best practices throughout the project lifecycle. Required Skills: Proven experience with Snowflake, Qlik Replicate, Oracle, SQL, and dbt. Strong programming background in Python, Java, or Scala. Deep understanding of data pipeline design and performance optimization. Expertise in both cloud and on-premise data integration strategies. Strong grasp of data governance, testing methodology, and reporting best practices.