Data Infrastructure team is seeking a talented Data (Infra) Engineer to join us.
In this role, youll play a key part in shaping the strategic direction of our data infrastructure, driving high-impact projects across the organization. Youll lead the development of robust, scalable systems that support massive data flows, optimize cloud resource usage, and implement modern DevOps practices to improve system reliability, performance, and efficiency.
Were looking for someone who thrives in a fast-paced, collaborative environment and is passionate about building the infrastructure that powers cutting-edge data products.
In This Role, You Will:
Shape Data Architecture: Guide strategic decisions around data infrastructure components, collaborate on requirements, and own system design and implementation.
Lead Projects: Drive end-to-end delivery of high-scale, data-intensive projects from design through deployment and maintenance.
Optimize Cloud Costs: Monitor and fine-tune cloud usage to ensure cost-effective performance across environments.
Enhance Reliability: Build tools and processes to ensure data systems are efficient, reliable, and highly available.
Integrate DevOps Practices: Automate and streamline workflows with CI/CD, container orchestration, and Infrastructure as Code for scalable, reliable deployments.
Work with a Modern Stack: Azure, GCP, Kubernetes, ArgoCD, Jenkins, Databricks, Snowflake, Aerospike, Neo4J, Airflow, RDBMS, Spark-operator, Kafka, Microservices, Bash, Python, SQL.
In this role, youll play a key part in shaping the strategic direction of our data infrastructure, driving high-impact projects across the organization. Youll lead the development of robust, scalable systems that support massive data flows, optimize cloud resource usage, and implement modern DevOps practices to improve system reliability, performance, and efficiency.
Were looking for someone who thrives in a fast-paced, collaborative environment and is passionate about building the infrastructure that powers cutting-edge data products.
In This Role, You Will:
Shape Data Architecture: Guide strategic decisions around data infrastructure components, collaborate on requirements, and own system design and implementation.
Lead Projects: Drive end-to-end delivery of high-scale, data-intensive projects from design through deployment and maintenance.
Optimize Cloud Costs: Monitor and fine-tune cloud usage to ensure cost-effective performance across environments.
Enhance Reliability: Build tools and processes to ensure data systems are efficient, reliable, and highly available.
Integrate DevOps Practices: Automate and streamline workflows with CI/CD, container orchestration, and Infrastructure as Code for scalable, reliable deployments.
Work with a Modern Stack: Azure, GCP, Kubernetes, ArgoCD, Jenkins, Databricks, Snowflake, Aerospike, Neo4J, Airflow, RDBMS, Spark-operator, Kafka, Microservices, Bash, Python, SQL.
Requirements:
5+ Years of Experience: Solid background as a Data Engineer or Data Infrastructure Engineer.
Data Infrastructure Expertise: Proficient in working with tools like Snowflake, PostgreSQL, Kafka, Aerospike, Spark, and object storage systems.
Cloud Experience: Hands-on experience with cloud platforms like Azure, GCP, or AWS, and know-how to navigate cloud-native architectures.
Coding & Scripting: Skilled in Python (or similar languages) and comfortable using Bash/Shell for automation tasks.
DevOps Skills (Nice to Have): Experience with Docker, Kubernetes, Terraform, ArgoCD, and Linux. Knowledge of networking and load balancing is a bonus.
5+ Years of Experience: Solid background as a Data Engineer or Data Infrastructure Engineer.
Data Infrastructure Expertise: Proficient in working with tools like Snowflake, PostgreSQL, Kafka, Aerospike, Spark, and object storage systems.
Cloud Experience: Hands-on experience with cloud platforms like Azure, GCP, or AWS, and know-how to navigate cloud-native architectures.
Coding & Scripting: Skilled in Python (or similar languages) and comfortable using Bash/Shell for automation tasks.
DevOps Skills (Nice to Have): Experience with Docker, Kubernetes, Terraform, ArgoCD, and Linux. Knowledge of networking and load balancing is a bonus.
This position is open to all candidates.
