Xeno - Senior Data Engineer - ETL Tools

2 months ago


Delhi, India Xeno Private Limited Full time

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

(ref:hirist.tech)

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