Ensure stability, performance, and scalability of data pipelines and infrastructure.
Collaborate with stakeholders to implement minor functional and technical improvements.
Automation & Continuous Improvement
Proactively identify opportunities to automate repetitive operational tasks.
Drive continuous improvement initiatives to reduce incidents and improve support efficiency.
Enhance monitoring, alerting, and self‑healing mechanisms where applicable.
Knowledge & Process Management
Continuously update and maintain SOPs, runbooks, and Knowledge Base articles.
Mentor and guide L1/L2 support teams, improving overall support maturity.
Ensure operational best practices and compliance are followed consistently.
Required Technical Skills
Cloud & Data Platforms
Google Cloud Platform (GCP) with strong hands‑on experience in
Dataproc
BigQuery
Cloud Run
Compute Engine
Cloud Storage
IAM
Data Engineering & Processing
Strong experience with Apache Spark
Hands‑on experience with Hive
Solid understanding of distributed data processing concepts and performance tuning
Workflow Orchestration
Experience with Apache AirflowS (DAG design, troubleshooting, monitoring)
Working knowledge of Scala
Programming & Scripting
Strong proficiency in Python
Experience with Shell scripting (Bash)
Preferred Qualifications
Experience supporting large‑scale production data platforms.
Familiarity with CI/CD pipelines for data platforms.
Experience with monitoring, logging, and alerting tools.
Knowledge of data governance, security, and access control best practices.
Strong analytical, problem‑solving, and communication skills.
Behavioral & Soft Skills
Ability to work in high‑pressure production environments.
Strong ownership, accountability, and customer‑centric mindset.
Excellent collaboration skills with cross‑functional teams.
Proactive approach to problem solving and process improvement.
Coverage & Support Model
8×5 operational coverage
Nice-to-Have
Experience working in ITIL-based support environments.
Exposure to cost optimization and performance tuning in GCP.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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