Data Pipeline Architect

Role Overview

We are seeking a skilled Data Engineer with 5–10 years of experience to join our dynamic Data Engineering team. 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 Skills :

Preferred Qualifications :

Why join us?

Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive environment for all employees.

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