Serko Ltd.

Data Engineer

• Serko is a cutting-edge tech platform in global business travel & expense technology. When you join Serko, you become part of a team of passionate travellers and technologists bringing people together, using the world's leading business travel marketplace. We are proud to be an equal-opportunity employer, we embrace the richness of diversity, showing up authentically to create a positive impact.

Principal Data Engineer

• Design, build, and maintain scalable data solutions that power analytics, reporting, and machine learning workflows.
• Architect and optimize data warehousing solutions on Snowflake, Redshift, Azure Synapse Analytics, OLAP/OLTP systems, and Timeseries DB.
• Implement data segregation, cleanup, de-duplication, persistence, and lifecycle management best practices.
• Define and enforce data organization, modeling, and exposure standards for BI, analytics, and ML Ops.
• Collaborate with security and compliance teams to apply encryption, access controls, and governance policies.
• Integrate logging, metrics, observability, and distributed tracing (Prometheus, Grafana, Open Telemetry, ELK) across data platforms.
• Monitor and tune systems for scalability, performance, and reliability under high-volume workloads.
• Participate in agile ceremonies to deliver features and improvements on time.
• Share on-call rotations, troubleshoot incidents, and drive root-cause analysis to minimize service disruptions.

Software Engineer – Data Engineer II

Engineering Manager

• Lead our Data Engineering team out of Bengaluru
• Architect scalable data solutions while mentoring a high-performing team
• Build and optimize data pipelines
• Ensure data integrity and security
• Enable advanced analytics and ML capabilities across the organization

Engineering Manager – Data Engineering

• Architect and lead the development of scalable, secure, and high-performance data platforms across cloud environments (Azure, AWS, GCP).
• Design and optimize data pipelines for batch and real-time processing, including ingestion, transformation, and delivery.
• Implement and maintain robust data warehousing solutions using Snowflake, Amazon Redshift, and Azure Synapse Analytics.
• Drive initiatives around data segregation, de-duplication, cleanup, persistence, and lifecycle management.
• Ensure data is organized, exposed, and secured effectively for downstream analytics, reporting, and ML workflows.
• Collaborate with cross-functional teams to integrate OLTP, OLAP, and Timeseries DB systems into unified data platforms.
• Champion best practices in data governance, security, and compliance (e.g., GDPR, HIPAA, SOC 2).
• Lead technical evaluations of emerging tools and technologies in the data ecosystem.
• Mentor junior engineers and contribute to the technical growth of the team.

Staff Data Engineer

• Design, build, and maintain robust data pipelines for batch and real-time processing across cloud platforms (Azure, AWS, GCP).
• Architect scalable data warehousing solutions using Snowflake, Amazon Redshift, and Azure Synapse Analytics.
• Implement data segregation, de-duplication, cleanup, and persistence strategies to ensure high-quality, reliable datasets.
• Integrate OLTP, OLAP, and Timeseries DB systems into unified data platforms for analytics and operational use.
• Ensure secure and efficient data exposure for downstream consumers including BI, analytics, and ML Ops workflows.
• Collaborate with DevOps and SRE teams to implement logging, metrics, observability, and distributed tracing across data systems.
• Optimize data infrastructure for scalability, performance, and reliability under high-volume workloads.
• Contribute to data governance, security, and compliance initiatives (e.g., GDPR, HIPAA, SOC 2).
• Evaluate and integrate emerging technologies to enhance data capabilities and system resilience.
• Mentor junior engineers and contribute to technical leadership within the team.
• Comfortable with agile processes and rotating on-call duty.

Senior Data Engineer

Full-stack Engineer

• Work closely with cross-functional teams to deliver high quality software that meets customer needs
• Write clean, well-structured code with regular production deployments
• Work in a “build it and run it” environment where engineering teams build, deploy, monitor and support the components they own
• Adoption of modern technical practices including CI/CD, DDD
• Contribute to continuous improvement of processes and practices