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

Work arrangement
No