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Senior Data Engineer

2 months ago

Delhi, India Xeno Private Limited Full time

About Xeno Private Limited

Xeno Private Limited is a leading company that enables brands to delight their customers at scale. Our mission is to empower businesses to create personalized experiences for their customers, driving growth and loyalty.

We help brands like Dunkin Donuts create 3 million unique campaigns every couple of weeks, increasing campaign conversions by more than 150% while reducing the marketing manager's workload by 95%.

Responsibilities

- Lead the migration of monolithic applications to microservices architecture.
- Manage the deployment and orchestration of services on Kubernetes (EKS).
- Optimize backend services to enhance performance and scalability.
- Focus on resolving core platform tech debts to ensure a robust and maintainable system.
- Design and manage data pipelines using tools like Apache Kafka, Flink, AWS Glue, and Airflow.
- Perform database tuning and optimization to ensure high performance and reliability.
- Optimize RDS/Redshift queries for better performance and efficiency.
- Utilize ELT tools like DBT for data transformation and pipeline management.
- Identify and implement strategies to reduce infrastructure and operational costs.
- Optimize resource allocation and utilization to achieve significant cost savings without compromising performance.
- Enhance platform security by working closely with DevSecOps teams.
- Implement best practices for data security, access controls, and compliance.
- Document SOPs for optimal local development setups and share best practices within the team.
- Set up development environments to streamline SDE workflows.
- Foster a culture of continuous improvement and efficiency within the engineering team.
- Develop a comprehensive health check system for services, including startup, liveness, and readiness probes.
- Monitor and alert on key metrics (e.g, API health, latency, error rates) using tools like Cube APM and PagerDuty.
- Ensure 100% log visibility and manage service-level health checks confidently.

Requirements

- 2-5 years of experience as a Platform/Data Engineer at a product company with a decent scale.
- Demonstrated experience in big migration projects such as monolith to microservices, Kubernetes adoption, or cost-saving initiatives.
- Experience working closely with product engineering and DevSecOps teams.
- BTech in Computer Science Engineering or related fields.
- Proficient in Java and related frameworks.
- Strong experience with observability stacks and tools like OpenSearch, Kibana, Grafana, Prometheus, New Relic, Percona, AWS Cloudwatch, and RDS Performance Insights.
- Expertise in database tuning and optimization.

Preferred Skills

- Experience with data engineering tools.
- Apache Kafka, Apache Flink, Amazon EKS, Amazon S3 AWS Glue, Amazon Athena, Presto, Apache Airflow, Apache Spark, Amazon EMR, Amazon OpenSearch, Kibana, SQL.
- Hands-on experience with creating and managing data pipelines using paid/open-source tools is a plus.
- Experience with ELT tools like DBT for data transformation.
- Proficiency in optimizing RDS/Redshift queries for performance.