Xeno - Senior Data Engineer - ETL Tools
3 months ago
About Xeno :
- Xeno's mission is to enable brands to delight their customers at scale.
- Imagine if a brand has 3 million existing customers, with Xeno they can create 3 million campaigns specific to each & every individual customer over SMS, email, Facebook & Instagram.
- On top of that, we're crazily focused on building the best company to work for in India.
- Xeno helps B2C brands run 1 to 1 marketing campaigns at scale to their existing customers.
- For example, we help a brand like Dunkin Donuts with 3 million customers create 3 million unique campaigns every couple of weeks.
- We help brands increase 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.
Good to have :
- 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
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