Starburst SME – API Integration

Job Description

Job Information Date Opened 05/13/2025 Job Type Full time Industry IT Services City Hyderabad State/Province Telangana Country India Zip/Postal Code 500059 About Us About DATAECONOMY: We are a fast-growing data & analytics company headquartered in Dublin with offices inDublin, OH, Providence, RI, and an advanced technology center in Hyderabad,India. We are clearly differentiated in the data & analytics space via our suite of solutions, accelerators, frameworks, and thought leadership. Job Description Job Title: Starburst SME – API Integration Experience: 5–10 Years Location: [Hybrid – Hyderabad/Pune] Employment Type: Full-Time About the Role: We are seeking a skilled and motivated Starburst SME with hands-on experience in API integrations , distributed SQL engines, and enterprise data platforms. In this role, you will be responsible for designing, optimizing, and integrating Starburst (Trino) into our broader data ecosystem to enable scalable, real-time data access across multiple sources. Key Responsibilities: Act as the subject matter expert (SME) for Starburst and Trino within the organization. Design and implement data federation strategies using Starburst across cloud, lake, and warehouse platforms. Develop and manage API-based integrations with Starburst for custom applications, BI tools, and automation workflows. Optimize distributed queries for performance and cost efficiency across multiple data sources. Collaborate with engineering, analytics, and DevOps teams to integrate Starburst into the modern data stack. Monitor, troubleshoot, and document performance metrics and usage patterns. Stay up to date with Trino and Starburst features, releases, and best practices. Requirements Required Skills: 5+ years of experience in data engineering or data platform management . Strong knowledge of Starburst/Trino , including connectors, coordinator/worker setup, and security. Experience working with Starburst REST APIs for query execution, metadata access, and integration. Proficient in SQL , query tuning, and working with distributed databases. Familiar with data lake and warehouse ecosystems (e.g., Hive, Iceberg, Delta Lake, Snowflake, Redshift, BigQuery). Experience with Python or similar scripting languages for API integrations. Hands-on with Docker, CI/CD tools , and workflow orchestrators like Airflow or Dagster. Preferred: Experience with data catalogs (Alation, Collibra) and RBAC implementation. Familiarity with monitoring tools like Prometheus/Grafana for Starburst. Understanding of BI integration (Looker, Tableau, Superset) using Starburst. Benefits What We Offer: Opportunity to work with cutting-edge data technologies. A dynamic, fast-paced environment with cross-functional collaboration. Competitive compensation and growth path in a data-driven organization.