About Position:

We are hiring a Data Engineer with strong expertise in Snowflake, Informatica, and Python to design, develop, and support enterprise-scale data engineering solutions. The ideal candidate will be responsible for building scalable data pipelines, up-to-date data platforms, and cloud-based analytics solutions while ensuring data quality, governance, and operational excellence across the organization.

Role: Data Engineer
Location: All Persistent Location
Experience: 8 to 18 years
Job Type: Full-Time Employment

What You'll Do:

Design, develop, and support enterprise-scale data engineering solutions using Snowflake, Databricks, Informatica, and cloud-native technologies.
Build scalable ETL/ELT pipelines to ingest, transform, validate, and process structured and unstructured data.
Develop backend services, APIs, and data applications using Python.
Design and implement data warehouse, lakehouse, and analytical data models to support business intelligence and AI use cases.
Create reusable data frameworks, ingestion components, and transformation pipelines.




Collaborate with product owners, architects, data scientists, and platform teams to define technical solutions.
Lead end-to-end solution delivery including architecture, development, deployment, monitoring, and optimization.
Implement and maintain CI/CD pipelines for data engineering and AI workloads.
Develop and support MLOps/LLMOps frameworks for machine learning and Generative AI solutions.
Integrate monitoring, observability, logging, and alerting capabilities across data and AI platforms.
Optimize Snowflake, Databricks, and SQL workloads for performance, scalability, and cost efficiency.
Ensure data quality, security, governance, and compliance requirements are met.
Participate in Agile ceremonies including sprint planning, estimation, backlog refinement, and design reviews.
Support production incidents, troubleshooting, root cause analysis, and continuous platform improvement initiatives.
Create techn

📌 Data Engineer (Pune)
🏢 Persistent Systems
📍 Pune