Data Engineering Leadership
Lead enterprise data integration and modernization initiatives.
Design and implement cloud-native ETL architectures.
Drive migration efforts from legacy platforms to contemporary 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 & Up-to-date 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

📌 Senior Software Engineer Pune
🏢 SmartStream
📍 Pune