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

Required Additional Technical Skills (Senior ETL Developer)

• 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