Seeking a Sr. Technical Lead in Data Engineering with a focus on ETL and data pipeline development. This role involves managing and building robust data solutions.

Responsibilities include designing and implementing ETL processes for large datasets, ensuring data quality, and monitoring pipeline performance. Expertise in various data technologies and Salesforce development is essential.

Develop and maintain ETL/ELT data pipelines for large-scale data processing. Write efficient code for data transformation and integration using languages such as SAS, Python, and SQL. Implement solutions for data collection, processing, and storage. Manage and govern databases effectively. Develop and integrate using Ab-initio, Mulesoft, and SFDC coding practices. Build and maintain Tableau's Next semantic layer. Utilize Salesforce development skills (Flow/Apex) and understand security basics.

Proven experience in Data Engineering, with a strong emphasis on ETL/ELT development. Proficiency in SAS, Python, and SQL is required. Experience with database governance and management is essential. Familiarity with Ab-initio, Mulesoft, and SFDC coding. Skills in Excel, Tableau, Oracle, and Google Analytics. Knowledge of Data Cloud/Data 360 modeling and identity resolution. Strong API and ETL integration capabilities. Expertise in SQL, data quality, and pipeline monitoring. Experience in Salesforce development (Flow/Apex) and basic security principles.