Design and develop scalable data engineering solutions
using
Python
,
PySpark
, and
Ab Initio
, focusing on real-time and batch data processing across distributed databases.
Build and optimize ETL pipelines
for large-scale data ingestion and transformation, ensuring high performance and reliability in cloud and on-prem environments.
Write complex PL/SQL queries and procedures
to support data integration, validation, and reporting needs, while maintaining data integrity across systems.
Collaborate with cross-functional teams
to implement full-stack solutions using
Java
,
Spring Boot
,
Microservices
, and
Kafka
, integrating backend services with data workflows.
Contribute to system architecture and design
, ensuring seamless integration between data platforms and business applications, with a focus on scalability and fault tolerance.
Mentor junior engineers
, lead code reviews, and enforce best practices in data engineering and software development, fostering a culture of continuous improvement.

Preferred candidate profile

Python, PySpark, Ab initio, PLSQL, and distributed databases.
Java Full stack (Java, Spring boot, Microservices, Kafka), Python, PySparkExperience in Years : 12+

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