Role: Data Ops Engineer

Location: Hyderabad

Job Scope:

Responsible for orchestrating, monitoring, and maintaining reliable and scalable data pipelines across Tanlas CPaaS ecosystem. Ensure observability, reliability, and data quality across all data platforms through monitoring, alerting, and automated health checks. Participate in incident detection, troubleshooting, and resolution to minimize downtime and data disruptions. Implement and maintain data quality frameworks ensuring consistency, accuracy, and availability of business-critical data.

What You'll be Responsible for?

1. Data Operations & Monitoring

- Batch Job Monitoring & ETL Process Tracking
- Daily Health Checks for Database, ETL & Reporting Services
- Alert Monitoring, Ticket Handling & Escalation Coordination

2. Customer Reporting & Data Support

- Daily / Scheduled Customer Report Generation & Validation
- Log Extraction, Data Retrieval & Ad-hoc Data Support
- Report Delivery Tracking & Customer Query Coordination

3. Incident Handling & Operational Support

- First-Level Troubleshooting for DBA / ETL / MIS Issues
- Monitoring Failed Jobs, Services & Data Pipelines
- Incident Logging, RCA Coordination & Escalation Management

4. Data Validation & Operational Compliance

- Data Verification, Reconciliation & Basic Quality Checks
- Shift Reporting, Activity Tracking & Status Communication
- Coordination with DBA, ETL, MIS & Application Teams

What Youd have?





- Hands-on experience with orchestration tools (Apache Airflow, Prefect, or equivalent).
- B.E. / B.Tech / M.Sc. / MCA in Computer Science, Information Systems, or related discipline.
- 35 years of experience in Data Operations / Data Engineering / Data Reliability roles.
- Proven exposure to pipeline orchestration, monitoring, troubleshooting, and data quality management in large-scale production environments
- Strong experience in monitoring & logging using Prometheus, Grafana, ELK, or Splunk.
- Knowledge of incident management and troubleshooting techniques in data environments.
- Experience implementing and managing data quality frameworks.
- Proficiency in SQL and scripting languages (Python, Bash).
- Understanding of CI/CD, version control, and automation principles.
- Good problem-solving, analytical, and collaboration skills.

Why join us?

- Impactful Work: Play a pivotal role in safeguarding Tanla's assets, data, and reputation in the industry.
- Tremendous Growth Opportunities: Be part of a rapidly growing company in the telecom and CPaaS space, with opportunities for career development.
- Innovative Environment: Work alongside a world-class team in a challenging and fun environment, where innovation is celebrated.

Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive environment for all employees.

www.tanla.com

📌 Data Operations Engineer (Telangana)
🏢 Tanla Platforms
📍 Telangana