Support Engineer – Data & Cloud Platforms

Job Role: Support Engineer – Data & Cloud Platforms Location: Hyderabad Experience: 5+ Years Work Mode: Hybrid About the Role Anblicks is looking for an experienced Support Engineer to provide advanced Tier 3 technical support for complex enterprise applications, data platforms, and cloud solutions. The role involves troubleshooting highly complex production issues, driving root-cause analysis, implementing fixes, and ensuring high availability and performance across modern data ecosystems. You will work closely with Engineering, DevOps, Product, Data, and Client-facing teams to resolve critical issues across Databricks, Snowflake, Cloudera, Dagster, dbt, AWS, and GCP environments. Key Responsibilities Provide Tier 3 production support for complex applications, data platforms, pipelines, and enterprise solutions. Independently investigate and resolve complex application, data, platform, and performance issues using logs, monitoring, code analysis, and technical research. Perform Root Cause Analysis (RCA) and implement permanent fixes, configuration changes, and code-level enhancements. Troubleshoot and optimize Databricks, Snowflake, Cloudera, Spark, Dagster, and dbt environments and data pipelines. Collaborate with DevOps, Product Engineering, Data Engineering, and Support teams to resolve critical incidents. Support major incident management, on-call escalations, and SLA-driven production environments . Develop proactive monitoring and preventive solutions to reduce recurring incidents. Support deployment and implementation of enterprise solutions while ensuring adherence to engineering and platform standards. Troubleshoot integrations across cloud, data, application, infrastructure, and security ecosystems. Must-Have Skills & Experience 5+ years of experience in enterprise production/support engineering roles. Strong hands-on experience with Databricks , including troubleshooting, performance tuning, and pipeline orchestration. Hands-on experience with Cloudera/Hadoop , including Spark, Ranger, Hue, YARN , and performance optimization. Strong Python development and production troubleshooting experience. 3+ years of experience supporting Dagster + dbt integrations and data orchestration pipelines. Strong experience with SQL, PySpark, Snowpark, Spark , and data processing technologies. Experience with Node.js, MongoDB , and enterprise software development/support. Proficiency with Git/GitHub and Git-based development workflows. Experience working in high-pressure, SLA-driven enterprise production environments . 3+ years of experience across AWS and/or GCP cloud environments. Hands-on experience with Infrastructure as Code (IaC) and deployment automation. Experience with Citrix environments . Strong troubleshooting, analytical, communication, and incident-management skills. Good to Have Experience with Data Lake architecture, ETL/ELT, schema validation, and data integrity . Experience with Tableau,…