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Open nowPosted 16 days ago

Support Engineer – Data & Cloud Platforms

Anblicks92 open roles

Where
Hyderabad
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Your applicationOpen nowSupport Engineer – Data & Cloud PlatformsAnblicks · Hyderabad

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  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 16 days ago

The posting

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, 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.

Certifications

Preferred / Required:

  • Databricks Certified Data Analyst or
  • Snowflake SnowPro Advanced: Data Analyst

Additional Advantage:

  • AWS Certified Data Engineer

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.

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.

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