About this role
The team is seeking a Senior / Lead Data Engineer to join their team, focusing on the Service Layer and Quote-to-Cash (QTC) Integration Platform. This role is critical for developing and maintaining robust data engineering solutions that support enterprise-level applications.
Key Responsibilities:
- Design and implement data pipelines using Go/Golang and Python.
- Develop microservices and distributed systems to enhance data processing capabilities.
- Integrate with AWS services, leveraging serverless architecture and event-driven models.
- Work with data storage solutions including Snowflake, PostgreSQL, and ClickHouse.
- Collaborate with cross-functional teams to ensure seamless integration with CRM and ERP systems.
- Drive improvements in data quality and performance across the data engineering platform.
Required Skills & Qualifications:
- Proficiency in Go/Golang and Python programming languages.
- Extensive experience with AWS technologies and services.
- Familiarity with Kafka/MSK for data streaming and event-driven architecture.
- Strong understanding of distributed systems and microservices.
- Experience in data engineering platforms and tools.
- Knowledge of Quote-to-Cash processes and customer lifecycle management is preferred.
Experience:
- Minimum of 8 years in data engineering or related fields, with a proven track record in similar roles.
What we offer:
- Opportunity to work in a hybrid environment in Bengaluru.
- Engaging projects that drive innovation in data engineering.
- A collaborative and dynamic team culture.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.