Data Engineering Leadership

- Lead enterprise data integration and modernization initiatives
- Design and implement cloud-native ETL architectures
- Drive migration efforts from legacy platforms to up-to-date 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

📌 Senior Software Engineer (Pune)
🏢 SmartStream
📍 Pune