Support Engineer – Data & Cloud Platforms

# Job Role: Support Engineer – Data & Cloud Platforms
Location: Hyderabad Experience: 5+ Years Work Mode: Hybrid
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## 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.
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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.

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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.

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Good to Have

- Experience with Data Lake architecture, ETL/ELT, schema validation, and data integrity .
- Experience with Tableau, Unica, Jenkins, Google Pub/Sub , or similar enterprise platforms.
- Experience building or supporting automated testing frameworks .
- Hands-on experience with Databricks Unity Catalog , security, and governance.
- Experience with IAM, SSO, Okta , and enterprise identity platforms.
- Experience with Kubernetes, Docker, Terraform , and CI/CD environments.
- Experience with production logging and observability tools such as ServiceNow, Observe, Coralogix, and OpenSearch .
- Exposure to Scala, Perl, Oracle, React, Spring Framework , or similar technologies.
- Experience supporting cloud data platforms and distributed data ecosystems .

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## Certifications
Preferred / Required:
- Databricks Certified Data Analyst or
- Snowflake SnowPro Advanced: Data Analyst
Additional Advantage:
- AWS Certified Data Engineer

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What Will Make You Successful

- Strong ability to independently troubleshoot ambiguous and complex production issues .
- Ability to analyze logs, trace failures, understand custom code, and identify root causes with minimal supervision.
- Strong ownership of production incidents from identification through resolution and prevention .
- Ability to work effectively with cross-functional engineering and client teams.
- Strong focus on system reliability, performance, automation, and continuous improvement .

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### Why Join Anblicks?
Join Anblicks , a Great Place to Work® Certified™ Data & AI company, and work on challenging Data, Cloud, AI, and Analytics solutions for global enterprises. Be part of a technology-driven environment where you can work with modern platforms including Databricks, Snowflake, AWS, Azure, GCP, and Generative AI technologies .