Start Date : Immediate Joiners!
Locations : Bengaluru, Coimbatore, Chennai, Gurugram / Noida, Hyderabad, Kochi, Kolkata, Mumbai, Pune, Trivandrum (Hybrid / On-site options available).
Job Overview :
We are seeking an experienced and highly motivated Data Engineer with deep expertise in Trino (Starburst or Apache) to join our fast-growing data engineering team.
The ideal candidate will be responsible for designing, implementing, and optimizing large-scale data solutions with a focus on data virtualization using Trino in AWS environments.
Key Skill Focus :
Trino (Starburst Trino or Apache Trino) Mandatory.
Primary Responsibilities :
- Install, configure, and optimize Trino clusters for performance, reliability, and scalability.
- Implement and manage data virtualization solutions using Trino in cloud environments.
- Monitor and troubleshoot distributed SQL queries to ensure high performance.
- Configure and manage security for Trino, including LDAP integration and Apache Ranger policies.
- Collaborate with data engineers, cloud architects, and DevOps teams to deliver robust data pipelines and services.
- Automate deployment, configuration, and monitoring using CI / CD pipelines and Infrastructure as Code (IaC) tools.
- Apply best practices in data engineering for versioning, release management, and deployment processes.
Required Skills & Qualifications :
Experience Level : 5+ Years.
Strong hands-on experience with Trino (Starburst or Apache) including :Installation & configuration.Performance tuning.Security integrations (LDAP, Ranger).Distributed query troubleshooting.Solid knowledge of AWS Cloud Services.Expertise in data virtualization concepts and implementations.Proficiency in scripting and programming languages :Python, SQL, Bash, Node.js.Linux / Unix shell scripting.Familiarity with DevOps and CI / CD tools, including :GitHub Actions.Terraform.Kubernetes.Nice to Have :
Experience with other cloud platforms (e.g., Azure, GCP).Exposure to Starburst-specific enterprise features (if not already used).Understanding of big data ecosystems (Hadoop, Hive, etc.).Why Join Us ?
Opportunity to work on cutting-edge data engineering projects.Collaborative and growth-focused culture.Flexible location options across major Indian cities.Competitive compensation and benefits.(ref : hirist.tech)