Data Engineer

Role Overview The ideal candidate will design, build, and optimize large-scale data pipelines and warehouses that enable real-time analytics and business intelligence across Tanla’s CPaaS ecosystem. You’ll work on diverse datasets, including Call Detail Records (CDR), and collaborate closely with cross-functional teams to ensure data reliability, scalability, and performance. Key Responsibilities: Design and implement ETL/ELT pipelines for large-scale data processing and analytics. Develop and optimize analytical SQL queries for performance and scalability. Work with Big Data frameworks such as Hadoop, Spark, and Kafka. Design, build, and maintain data warehouses and data models supporting reporting and analytics. Parse and transform Call Detail Records (CDR) and other telecom-related data efficiently. Collaborate with data scientists, analysts, and business stakeholders to ensure smooth data flow. Ensure data quality, integrity, and governance across distributed systems. Required Skil...