Data Engineer

1 week ago

Mumbai, Maharashtra, India TAO Digital Solutions Full time

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

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