Data Engineering & Reporting Manager

Job Description

At our company, we hold an uncompromising stance against mediocrity, committing ourselves to work that delivers audacious impact and is fueled by a pioneering spirit of continuous progress and innovation. This ambition is supported by leadership grounded in courage and clarity-ensuring alignment, accountability, and purpose in everything we do. Integrity shapes how we hire, recognize, and develop talent, with a focus on potential, ambition, and long term growth. Together, we operate with collective strength, prioritizing meaningful results over unnecessary rituals and navigating challenges with unity and resolve. Above all, we remain steadfast and resilient, never losing sight of our commitments and continuously pushing forward through complexity with determination and purpose to create a better life for all.

• Design end-to-end data architectures that integrate diverse sources (OSS/BSS, CRM, and Digital Apps) into a unified "Source of Truth."

• Design and manage scalable, distributed systems (Big Data, Lakes House, Hadoop, Spark, Kafka) capable of handling petabyte-scale telecom data.

• Optimize database performance for high-concurrency environments, ensuring that the Data Warehouse (DWH) and reporting layers remain responsive under heavy loads.

• Automate workflows and reporting processes using orchestration tools (e.g., Airflow, N8N) and scripting (Linux Shell/Python).

• Ensure data complies with local regulations and organizational security protocols and policies.

• Translate business requirements into data models, KPIs, and reporting frameworks, ensuring alignment across all data layers.

• Design and implement dynamic dashboards and automated reporting solutions that provide actionable insights to stakeholders.

• AI/ML Driven processes, pipeline and workflow automation.

• Serve as the primary technical liaison for Product, Sales, Technology, IT, and Finance teams to translate business requirements into technical data models.

Academic Qualification

• Graduation in Computer Science/Applied Statistics/Business/Relevant Field

Job Experience Required

• 4+ years of experience including 2 years in a relevant field

Required Capabilities

• Strong knowledge in RDBMS, Big Data Lakes and NoSQL technologies

• Knowledge of data visualization tools (Micro Strategy, Super Set, Power BI etc.)

• Working knowledge of/experience in shell script, R/ Python and SQL

• Strong knowledge in data management and Reporting

• Strong knowledge on Telecom industry value chain

• Business Communication and presentation skill

• Demonstrated knowledge of analytical techniques and their applications

• Ability to manage specific tasks to completion with minimal direction.

• Very habitual in MS Excel and PowerPoint