Overview: Responsibilities :
Deploy and manage Starburst Enterprise/Galaxy and Dell Data Lakehouse installations, overseeing setting setup, configuration, maintenance, upgrades, and ensuring optimal performance.
Integrate Starburst with various data sources to create a unified data platform.
Design and tune the container solution for performance and scalability.
Set up and configure data catalogs in various modes.
Implement robust security controls for data access, ensure compliance with data regulations, and manage potential vulnerabilities.
Coordinate with various support partners and vendor teams.
Troubleshoot and investigate server related issues and provide root cause analysis for incidents.
Perform daily server administration and monitoring, and leverage automation (such as Ansible) for productive maintenance.
Plan and execute disaster recovery testing.
Create documentation and provide training on Starburst administration and best practices.

Qualifications:
Required Skills & Experience:
Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering or related field (or equivalent work experience).
Proven experience with Trino/Starburst Enterprise/Galaxy administration / CLI.




Implementation experience with container orchestration solutions (Kubernetes/OpenShift).
Knowledge of Big Data (Hadoop/Hive/Spark) and Cloud technologies (AWS, Azure, GCP).
Understanding of distributed system architecture, high availability, scalability, and fault tolerance.
Familiarity with security authentication systems such as LDAP, Active Directory, OAuth2, Kerberos.
Excellent Unix/Linux skills.
Familiarity with JDBC / ODBC
Preferred Skills:
Certification :Starburst Certified Practitioner .
Experience Python and/or Java programming.
Proficient with infrastructure automation tools such as Ansible.
Knowledge of data requirements for AI and machine learning workloads.
Familiarity with Data Federation and Cached Services
Familiarity with Data pipeline (Series of steps that move and transform data from one source to another for analyses and storage)
Experience with Dell Data Lakehouse administration.
Experience in Demand Driven Adaptive Enterprise (DDAE) administration
Working Conditions
This position may require evening and weekend work for time-sensitive project implementations.

📌 Senior Data Engineer Hyderabad
🏢 Bell Integration
📍 Hyderabad