Senior Software Engineer

Data Engineering Leadership Lead enterprise data integration and modernization initiatives. Design and implement cloud-native ETL architectures. Drive migration efforts from legacy platforms to modern Data Engineering solutions. Analytics Enablement Partner with BI teams to design scalable reporting and semantic data models. Establish best practices for Power BI and Tableau data consumption layers. Optimize enterprise reporting performance. Architecture & Modern Platforms Architect end-to-end solutions leveraging: Databricks Snowflake Azure Data Factory AWS Glue Apache Airflow Spark AI-Driven ETL Modernization Drive adoption of AI-enabled development practices. Lead ETL migration projects using Generative AI-assisted code conversion and test automation. Develop intelligent monitoring, reconciliation, and anomaly detection capabilities. Leadership & Mentorship Establish development standards and governance policies. Mentor ETL Developers and ETL Analysts. Participate in hiring, technical assessments, and onboarding. Additional Technical Skills (Senior ETL Developer) Required 7+ years of Data Integration and Data Engineering experience Expert in Talend and/or Informatica Advanced SQL expertise Python and PySpark PostgreSQL and Oracle Databricks Snowflake Power BI and Tableau Azure Data Factory and/or AWS Glue Apache Airflow Git, CI/CD, DevOps Preferred Microsoft Azure Data Engineer Certification AWS Data Analytics Certification SnowPro Certification Experience with Collibra, Alation, or Informatica Data Governance Experience leading ETL modernization programs