The Role
Provides Tier 3 production support for enterprise applications, data platforms, pipelines, and cloud environments. Troubleshoots complex application, data, platform, and performance issues; performs root-cause analysis; implements permanent fixes; and supports major incidents, deployments, monitoring, and automation. The role works across Databricks, Snowflake, Cloudera, Dagster, dbt, AWS, GCP, and related technologies while collaborating with engineering, DevOps, data, product, and client-facing teams.
Summary Generated by Built In
Job Role: Support Engineer – Data & Cloud Platforms
About the Role
Key Responsibilities
Must-Have Skills & Experience
Good to Have
Certifications
What Will Make You Successful
Why Join Anblicks?
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.
Skills Required
- 5+ years of experience in enterprise production or support engineering roles
- Hands-on Databricks experience, including troubleshooting, performance tuning, and pipeline orchestration
- Hands-on Cloudera/Hadoop experience, including Spark, Ranger, Hue, YARN, and performance optimization
- Strong Python development and production troubleshooting experience
- 3+ years supporting Dagster and 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 or support
- Proficiency with Git, GitHub, and Git-based development workflows
- Experience in high-pressure, SLA-driven enterprise production environments
- 3+ years of experience across AWS and/or GCP cloud environments
- Hands-on Infrastructure as Code and deployment automation experience
- Experience with Citrix environments
- Strong troubleshooting, analytical, communication, and incident-management skills
- 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 Databricks Unity Catalog, security, and governance experience
- Experience with IAM, SSO, Okta, and enterprise identity platforms
- Experience with Kubernetes, Docker, Terraform, and CI/CD environments
- Experience with ServiceNow, Observe, Coralogix, OpenSearch, or similar logging and observability tools
- Exposure to Scala, Perl, Oracle, React, Spring Framework, or similar technologies
- Databricks Certified Data Analyst or Snowflake SnowPro Advanced: Data Analyst certification
- AWS Certified Data Engineer certification
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The Company
What We Do
Anblicks is a Cloud Data Analytics Company based out of Dallas, TX, with offices in USA, India, and Australia. Since 2004, Anblicks has been helping customers by bringing value to their data and implementing modern data architecture and advanced analytics solutions in the cloud.
