SENIOR LEAD DATA ENGINEER

• *Role Overview**

We are looking for a hands\-on Senior / Lead Data Engineer to design, develop, and manage a cloud\-native integration platform supporting Quote\-to\-Cash (QTC), customer lifecycle, finance, and enterprise application integrations.

The ideal candidate should have strong expertise in Go/Golang, Python, AWS, Kafka/MSK, microservices, distributed systems, and data engineering, along with the ability to lead engineering teams and manage end\-to\-end technical delivery.

• *Key Responsibilities**

• Design, develop, and maintain event\-driven integration services using Go/Golang and Python.
• Lead technical delivery, mentor engineers, conduct code reviews, and manage project execution.
• Design scalable architectures for microservices, distributed systems, and enterprise integrations.
• Develop and manage Kafka/AWS MSK\-based event processing and asynchronous workflows.
• Build REST APIs and integration services for enterprise applications.
• Design and implement ETL, data migration, reconciliation, and data quality solutions.
• Work with AWS Glue, Step Functions, Snowflake, PostgreSQL, and ClickHouse.
• Develop cloud\-native applications using AWS services.
• Implement CI/CD pipelines, secure coding practices, and automated testing.
• Monitor platform performance, troubleshoot production issues, and perform root cause analysis.
• Collaborate with product, architecture, engineering, DevOps, and business teams to ensure successful delivery.

• *Required Technical Skills**

• *Programming \& Backend Development**

• Strong hands\-on experience with Go/Golang and Python.
• REST API development and secure API design.
• Backend services, data processing, and orchestration workflows.

• *AWS \& Cloud\-Native Technologies**

• AWS Lambda, API Gateway, S3, RDS/Aurora PostgreSQL, DynamoDB, SQS, SNS, EventBridge, IAM, CloudWatch, and VPC.
• Strong understanding of AWS serverless architecture.

• *Kafka \& Distributed Systems**

• Kafka/AWS MSK and event\-driven architecture.
• Microservices and distributed systems.
• Asynchronous messaging, retries, idempotency, message replay, fault recovery, and dead\-letter queues.

• *Data Engineering \& Databases**

• PostgreSQL, ClickHouse, DynamoDB, and relational/NoSQL databases.
• Data modelling, query optimization, performance tuning, and data validation.
• AWS Glue, Step Functions, Snowflake, ETL, and data reconciliation.

• *DevOps, Security \& Monitoring**

• CI/CD tools such as GitLab CI and Jenkins.
• Security tools such as SonarQube, Trivy, and Semgrep.
• IAM, OAuth2, JWT, encryption, Secrets Manager, and vulnerability management.
• Monitoring tools such as CloudWatch, Grafana, Datadog, Prometheus, and OpenTelemetry.

• *Eligibility Criteria**

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline.
• Minimum 8\+ years of software engineering experience.
• At least 4\+ years of experience in cloud\-native development, data engineering, integration, or distributed platforms.
• At least 4\+ years of hands\-on experience with AWS, Go/Golang, Python, and Kafka in production environments.
• Proven experience leading and mentoring engineering teams.
• Experience with architecture design, technical delivery, production support, incident management, and performance optimization.

• *Good to Have**

• AWS certifications such as AWS Certified Data Engineer – Associate, AWS Certified Solutions Architect – Associate, or AWS Certified Developer – Associate.
• Experience in Quote\-to\-Cash (QTC), CRM, ERP, customer lifecycle management, or enterprise data.
• Exposure to finance, billing, and large\-scale enterprise integration projects.

Pay: ₹2,500,000\.00 \- ₹2,700,000\.00 per year

Work Location: Hybrid remote in Bengaluru, Karnataka