Description

You will build and optimize complex data pipelines and database architectures within the telecom domain.

Responsibilities

• Design and implement data pipelines using Python, PySpark, and SQL.
• Optimize database performance across relational and NoSQL systems.
• Integrate GenAI and LLM tools throughout all phases of the SDLC.
• Troubleshoot microservices and API interactions using logging and monitoring tools like Kibana.
• Manage data flows through tools such as Spark, Databricks, Kafka, or Airflow.

Required Skills

• 10+ years of professional software development experience.
• Advanced SQL and Python proficiency.
• Extensive experience with PySpark and Spark.
• Hands-on work with Databricks, Hadoop, Kafka, or Airflow.
• Experience with relational databases (Oracle, Postgres) and NoSQL (MongoDB, Cassandra).
• Proficiency in AWS, Azure, or GCP cloud platforms.
• Practical application of AI-augmented development using Copilot and other LLMs.
• Strong expertise in Telecom domain processes and customer buy-flow interactions.
• Knowledge of CI/CD, Git, and performance optimization.

Preferred Skills

• Scala programming experience.
• Reporting tool experience with PowerBI or Tableau.

Key Skills

Education

Any Graduate