We're Hiring | Data Engineering Platform Support – L1 & L2

? Experience: 1–6 Years

? Roles: L1 – Technical Operations Support | L2 – Technical Support Engineer

? Work Mode: WFO | Pune Location

? Shift: 24×7 Rotational Shifts

We are looking for skilled and motivated professionals to join our Data Engineering Platform Support team. If you have experience in Data Engineering operations, big data technologies, platform monitoring, incident management, and troubleshooting, we would love to hear from you!

? Key Responsibilities

- Manage day-to-day technical operations and platform support to ensure high availability, stability, and performance.
- Monitor platform health, applications, infrastructure, alerts, logs, and dashboards using ELK Stack and other monitoring tools.
- Monitor and troubleshoot data processing jobs using Apache Spark, Spark UI, and Apache Airflow.
- Support and troubleshoot technologies such as Hadoop, HDFS, Hive, Kafka, NiFi, S3, and SQL/NoSQL databases.
- Handle incidents, service requests, changes, and escalations through ITSM tools while adhering to agreed SLAs/SLOs.
- Perform initial-level troubleshooting, job reruns, service restoration, and escalation of unresolved issues.
- Conduct root cause analysis (RCA), resolve complex technical issues, and address recurring incidents.
- Monitor Java APIs, application logs, traces, and Kubernetes/EKS environments.
- Develop automation scripts and self-healing mechanisms to improve operational efficiency and reduce manual effort.
- Handle user queries, customer escalations, and data-related requests within agreed timelines.
- Participate in platform maintenance,



configuration changes, integrations, and knowledge-transfer sessions.
- Support and mentor junior team members and ensure adherence to incident, change, and problem management processes.

? Required Skills & Experience
- Hands-on experience in Technical Operations, TechOps, or Data Engineering Platform Support.
- Knowledge of Hadoop, HDFS, Hive, Apache Spark, and Apache Airflow.
- Experience with platform monitoring, log analysis, and troubleshooting using ELK Stack or similar tools.
- Understanding of Linux, Shell scripting, SQL, and database fundamentals.
- Familiarity with Kafka, NiFi, S3, and SQL/NoSQL databases.
- Understanding of ITIL processes, incident management, problem management, and ITSM tools.
- For L2 roles: Experience with Kubernetes/EKS, Jenkins CI/CD, Java API monitoring, automation, and complex incident resolution is an advantage.
- Willingness to work in a 24×7 rotational shift environment.

? Experience Criteria

L1 – Technical Operations Support

- 1–3 years of experience in technical operations or platform support.
- Exposure to Data Engineering platforms, ETL tools, Linux, SQL, Spark, Airflow, and monitoring tools.
- Ability to perform health checks, monitor jobs, troubleshoot basic issues, and manage incidents.

L2 – Technical Support Engineer

- 3–6 years of experience in TechOps or Data Engineering Platform Support.
- Robust hands-on troubleshooting skills across big data technologies, platform infrastructure, applications, and databases.
- Experience in root cause analysis, incident resolution, automation, performance monitoring, and cross-team coordination.

📌 Platform Engineer (Pune)
🏢 Softenger
📍 Pune