Data Engineer - Python

Job Overview
The Data Engineer (Python) will support the RAN Cutover and Data Ingestion workstream by developing and maintaining data pipelines for migrating data from legacy OSS systems to a new platform. This role involves handling vendor-specific data formats and supporting market-by-market cutover processes. Responsibilities

• Develop and maintain Python-based data pipelines for extracting data from 360 OSS servers.
• Process and transform vendor-specific data formats (Ericsson & Nokia XML).
• Support market-by-market data migration and cutover processes.
• Collaborate with architects and SMEs to ensure data integrity.
• Optimize data pipelines for performance and scalability.
• Assist in decommissioning legacy systems.

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 4+ years of experience in data engineering with a focus on Python.
• Proficiency in Python and related libraries (e.g., Pandas, PySpark).
• Experience with data ingestion and ETL processes.
• Familiarity with XML data formats.
• Must be located in India and eligible to work.

• Experience in telecommunications or OSS migrations.
• Knowledge of Databricks or Snowflake.
• Familiarity with cloud-based data platforms.
• Experience with large-scale data migrations.