Data Engineer - Golang

Compunnel Inc.

Bengaluru

On-site

INR 3,500,000 - 6,000,000

Full time

4 days ago

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Job summary

Compunnel Inc. is seeking a senior engineering leader to own end-to-end delivery of strategic initiatives. You will mentor engineers, steer architecture decisions for event-driven integrations, and drive platform capabilities across Quote-to-Cash workflows.

Strong emphasis on secure-by-design practices, cloud-native patterns, and data governance. The role requires deep expertise in Golang, Python, AWS, Kafka, and large-scale data processing, with a track record of building scalable, observable

Qualifications

8+ years of experience in software engineering and delivery.
Bachelor's degree in Computer Science.
Bachelor's degree in Engineering.
Bachelor's degree in Information Technology.
AWS Certified Data Engineer – Associate.
AWS Certified Solutions Architect – Associate.
AWS Certified Developer.

Responsibilities

Own end-to-end technical delivery of key initiatives, ensuring solutions are delivered with quality, scalability, security, and operational readiness.
Lead and mentor a team of engineers, fostering technical excellence, knowledge sharing, and continuous improvement across the team.
Drive architecture and design decisions for event-driven integrations, canonical data models, orchestration frameworks, and platform capabilities.
Define and enforce engineering standards, secure-by-design principles, cloud best practices, data governance and non-functional requirements for resilience, scalability, and supportability.
Design, develop, and operate real-time event-driven integration services using Golang and Python.
Build and enhance the Service Layer platform that orchestrates Quote-to-Cash workflows across enterprise applications.
Design and implement canonical data models, transformation frameworks, validation rules, and integration contracts that standardize communication across multiple business systems.
Design and implement scalable Kafka-based event processing solutions with support for retries, idempotency, sequencing, replay, and fault recovery.
Design and implement large-scale ETL, migration, reconciliation, and data-quality solutions using AWS Glue, Step Functions, Snowflake, PostgreSQL, and ClickHouse.
Design and implement observability, monitoring, alerting, and operational dashboards to enable end-to-end workflow visibility and supportability.
Partner with Product Managers, Architects, Enterprise Data teams, and other cross-functional stakeholders to define technical roadmaps and execution plans.
Lead code reviews, design reviews, technical governance activities, and engineering best-practice adoption across the team.
Drive engineering standards covering software development lifecycle, CI/CD, security, observability, resiliency, and cloud-native architecture patterns.

Skills

Golang

Python

AWS Cloud Platform

Kafka Event Streaming

Distributed Systems Architecture

Relational Databases

NoSQL Databases

RESTful API Design

ETL and Data Migration

Canonical Data Modeling

CI/CD Pipelines

Observability and Monitoring

Cloud Security

Microservices Architecture

Technical Leadership

Mentoring and Coaching

Solution Architecture

Technical Delivery Management

Code Review Facilitation

Data Governance

Production Support and Incident Mgmt

Stakeholder Management

Engineering Standards Enforcement

Quote-to-Cash Domain Experience

Education

Bachelor's degree in Computer Science

Bachelor's degree in Engineering

Bachelor's degree in Information Technology

AWS Certified Data Engineer – Associate

AWS Certified Solutions Architect – Associate

AWS Certified Developer

8+ years of experience in software engineering and delivery

Job description

Key Responsibilities

Own end-to-end technical delivery of key initiatives, ensuring solutions are delivered with quality, scalability, security, and operational readiness

Lead and mentor a team of engineers, fostering technical excellence, knowledge sharing, and continuous improvement across the team

Drive architecture and design decisions for event-driven integrations, canonical data models, orchestration frameworks, and platform capabilities

Define and enforce engineering standards, secure-by-design principles, cloud best practices, data governance and non-functional requirements for resilience, scalability, and supportability

Design, develop, and operate real-time event-driven integration services using Golang and Python

Build and enhance the Service Layer platform that orchestrates Quote-to-Cash workflows across enterprise applications

Design and implement canonical data models, transformation frameworks, validation rules, and integration contracts that standardize communication across multiple business systems

Design and implement scalable Kafka-based event processing solutions with support for retries, idempotency, sequencing, replay, and fault recovery

Design and implement large-scale ETL, migration, reconciliation, and data-quality solutions using AWS Glue, Step Functions, Snowflake, PostgreSQL, and ClickHouse

Design and implement observability, monitoring, alerting, and operational dashboards to enable end-to-end workflow visibility and supportability

Partner with Product Managers, Architects, Enterprise Data teams, and other cross-functional stakeholders to define technical roadmaps and execution plans

Lead code reviews, design reviews, technical governance activities, and engineering best-practice adoption across the team

Drive engineering standards covering software development lifecycle, CI/CD, security, observability, resiliency, and cloud-native architecture patterns