The Role
Provide L1/L2 production support for data platforms across cloud and on-premises environments. Monitor system performance and availability, troubleshoot incidents, conduct root cause analysis, analyze logs and metrics, support deployments, and implement fixes. Participate in major incident management, maintain operational documentation, meet SLAs and KPIs, and collaborate with Cloud, DevOps, and Engineering teams in a 24x7 rotational support model.
Summary Generated by Built In
Job Title: Support Engineer (Data & Cloud)
Role Overview
Key Responsibilities
Location: Hyderabad, India
Work Mode: Work from Office
Shift: 24x7 Rotational Shifts
Experience: 2–5 Years
Role Overview
We are looking for a proactive and detail-oriented Support Engineer to manage and support data platforms and client solutions across cloud and on-premise environments. This role involves working with modern data technologies such as AWS, Databricks, GCP, and Spark to ensure system reliability, performance, and uptime in a 24x7 support model.
Key Responsibilities
- Provide L1/L2 production support for data platforms and applications in cloud and on-prem environments
- Monitor systems and ensure high availability, performance, and reliability
- Troubleshoot incidents, perform root cause analysis (RCA), and implement fixes
- Analyze logs and system metrics to identify and resolve issues proactively
- Support deployment, configuration, and enhancements of data solutions
- Collaborate with Cloud, DevOps, and Engineering teams for issue resolution and system improvements
- Participate in Major Incident Management, including real-time response, escalation, and stakeholder communication
- Maintain documentation for incidents, known errors, and operational procedures
- Ensure adherence to SLAs, KPIs, and operational processes
- 2+ years of experience in Production Support, Data Engineering, or Cloud Support roles
- Hands-on experience with at least one: AWS, GCP, Databricks, Spark, or Snowflake
- Experience working in cloud-based and distributed systems environments
- Strong troubleshooting, debugging, and analytical skills
- Scripting experience in Python or Perl
- Familiarity with monitoring tools and incident management workflows
- Experience with Data Lakes, Data Warehousing, or Big Data ecosystems
- Exposure to workflow orchestration tools such as Airflow, DBT, or Dagster
- Understanding of data architecture and pipeline design
- Knowledge of CI/CD pipelines and DevOps practices
- Awareness of cloud cost optimization and operational efficiency
- Ability to work effectively in 24x7 rotational shifts (including weekends/holidays)
- Strong ownership mindset with the ability to handle critical production incidents
- Ability to work in a fast-paced, high-availability 24x7 support environment
- Excellent communication and stakeholder management skills
- Proactive problem-solving approach with attention to detail
Skills Required
- 2+ years of experience in production support, data engineering, or cloud support roles
- Hands-on experience with at least one of AWS, GCP, Databricks, Spark, or Snowflake
- Experience working in cloud-based and distributed systems environments
- Strong troubleshooting, debugging, and analytical skills
- Scripting experience in Python or Perl
- Familiarity with monitoring tools and incident management workflows
- Experience with data lakes, data warehousing, or big data ecosystems
- Exposure to Airflow, DBT, or Dagster
- Understanding of data architecture and pipeline design
- Knowledge of CI/CD pipelines and DevOps practices
- Awareness of cloud cost optimization and operational efficiency
- Ability to work in 24x7 rotational shifts, including weekends and holidays
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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.
