• Build and maintain scalable ETL/ELT pipelines for data extraction, transformation, and integration
• Develop pipelines that efficiently integrate data from various telecom systems (billing, CRM, network, operations)
• Design and implement logical data models, dimensional models, and star schemas
• Investigate data inconsistencies, suggest solutions, and resolve data quality issues
• Create and monitor scripts and checks for data validation and quality assurance
• Optimize database structures and objects for analytical workloads
• Implement data movement solutions that respect data classification and residency requirements
• Create delta processing mechanisms for high-volume telecom data streams
• Design integration patterns between legacy telecom systems and modern platforms
• Collaborate with Data Scientists and Analysts to ensure data readiness for analytics
• Use programming languages such as SQL, Python/PySpark, and Scala for data processing tasks

• Strong experience with database technologies such as relational and nosql
• Proficiency in Python, Java, or similar programming languages
• Experience with data integration tools and ETL/ELT processes
• Knowledge of data modeling and data warehouse concepts
• Familiarity with big data technologies (Hadoop, Spark, Trino, Presto, etc.)
• Knowledge of real-time data processing frameworks (e.g. Kafka, Flink)

Preferred Qualifications

• Experience with cloud data platforms (AWS, Azure, GCP)
• Experience with orchestration tools (e.g. Airflow)
• Familiarity with telecommunications industry data structures
• Experience with data quality monitoring tools and frameworks