Job Description
You will design, develop, and deploy AI-powered, cloud-based products. As a Data Engineer, youll work with large-scale, heterogeneous datasets and hybrid cloud architectures to support analytics and AI solutions. Collaborate with data scientists, infra engineers, sales specialists, and stakeholders to ensure data quality, build scalable pipelines, and optimize performance. Your work will integrate telco data with other verticals (retail, healthcare), automate DataOps/MLOps/LLMOps workflows, and deliver production-grade systems.
As a Data Engineer, you will: Ensure Data Quality & Consistency Validate, clean, and standardize data (e.g., geolocation attributes) to maintain integrity. Define and implement data quality metrics (completeness, uniqueness, accuracy) with automated checks and reporting.
Build & Maintain Data Pipelines Develop ETL/ELT workflows (PySpark, Airflow) to ingest, transform, and load data into warehouses (S3, Postgres, Redshift, MongoDB). Autom...