Platform Engineer/Site Reliability Engineer

Job Title: Site Reliability Engineer/ platformengineer

Work mode :

Notice: Immediate to 15days

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Job Description:

We are looking for a Data Engineer with strong experience in Python automation, observability (Prometheus), MongoDB, ETL workflows, and cloud data platforms. The ideal candidate should have hands-on skills in monitoring/logging, data engineering pipelines, and performance optimization across databases and cloud environments.

Key Responsibilities:

Develop and maintain data pipelines, ETL processes, and data workflows using SQL, Python, and Unix shell scripting.

Manage and optimize MongoDB including schema design, indexing, aggregation, and performance tuning.

Design and implement observability systems using Prometheus for metrics, logs, events, and traces.

Lead migration and validation of dashboards across observability/monitoring platforms.

Build automation scripts for monitoring, log retrieval, and system analysis.

Work with cloud platforms (Azure/Snowflake/Databricks) for data movement, storage, and scaling.

Collaborate with cross-functional engineering teams to ensure data reliability and system visibility.

Requirements:

510+ years of experience in Data Engineering or Observability Engineering.

Strong proficiency in Python scripting, automation workflows, and Unix/Linux systems.

Hands-on experience with Prometheus or similar monitoring tools.

Strong SQL experience and understanding of data warehousing concepts.

Experience with MongoDB (architecture, aggregation framework, performance optimization).

Understanding of cloud platforms such as Azure, Snowflake, or Databricks.

Good analytical, debugging, and communication skills.

Interested candidates send your resumes to #[Confidential Information]