Description

You will build and manage complex data pipelines within a telecom domain context.

This role is on-site.

Responsibilities

• Build and maintain scalable data pipelines using Python, PySpark, and SQL.
• Optimize data processing performance and troubleshoot microservices or API interactions using logging tools like Kibana.
• Integrate order and post-order processing workflows between BSS and OSS systems.
• Implement CI/CD practices and version control using Git.
• Apply GenAI and AI-augmented development techniques across the full SDLC.

Required Skills

• 5+ years of experience in data engineering.
• Advanced SQL proficiency.
• Expertise in Python and PySpark.
• Experience with Spark, Databricks, Hadoop, Kafka, or Airflow.
• Hands-on with relational databases (Oracle, Postgres) and NoSQL (MongoDB, Cassandra).
• Experience with cloud platforms (AWS, Azure, or GCP).
• Strong telecom domain expertise, specifically regarding BSS and OSS handoffs.
• Proficiency in AI-augmented development using Copilot and other LLMs.
• Advanced troubleshooting skills using Kibana to trace logs.

Preferred Skills

• Scala programming experience.
• Experience with reporting tools such as PowerBI or Tableau.

Key Skills

Education

Any Graduate