Support Engineer

keka

Hyderabad, India 2 Years Exp Posted 47d ago

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