Assistant Manager DI (Data Engineer)

? Division: Digital Intelligence
? Job Type: Permanent
? Career Level: Mid Career Level

? Job Purpose

Design and build the evolution of Zong’s in-house Data Middle Platform / Data Warehouse ecosystem, enabling Intelligent Cockpits, Campaign Management Systems, AI/ML models, and enterprise-wide data-driven operational and commercial platforms.

This role owns data models, ETL pipelines, and governance alignment across the enterprise data landscape.

?? Job Responsibilities

1) Data Engineering & Pipelines

• Design and operate scalable ETL/ELT and streaming pipelines from multiple domains (apps, network systems, external sources)
• Integrate data into platforms like Hadoop, Teradata, GaussDB, and Object Storage
• Implement enterprise-grade data quality, reconciliation, and validation frameworks
• Own release management: versioning, lineage tracking, rollback strategies, and impact analysis
• Ensure pipelines are secure, governed, SLA-driven, and automation-first

2) Data Products, Enablement & Intelligence Consumption

• Build curated data marts, subject areas, and semantic layers for:
  • Commercial analytics
  • Churn & precision marketing
  • Stock-based & franchise performance
  • Network & customer experience analytics
• Develop reusable data products for:
  • Intelligent Cockpits
  • Campaign Management Platforms
  • AI/ML models & operational systems
• Design feature-ready datasets for ML training, inference, and real-time scoring
• Ensure standardized and governed data usage (avoid one-off extracts)

3) Telecom Domain & Business Alignment

• Apply understanding of telecom domains:
  • OSS (Network, QoS, Events)
  • BSS (CRM, Billing, Charging, Campaigns)
  • MSS (Finance, HR, Supply Chain)
  • Public / external data (social & unstructured data)
• Translate business KPIs into data models and pipelines
• Collaborate with Commercial, CX, Network, Finance, and AI teams to convert use cases into platform capabilities

4) Data Governance, Standards & Platform Maturity

• Work within enterprise Data Governance Framework (quality, lineage, metadata, security, access control)
• Ensure:
  • Trusted datasets
  • Controlled access
  • Full auditability and lineage
• Support transition from reporting → analytics → AI-driven decision-making

? Eligibility Criteria

Education

• Bachelor’s degree or higher (preferably in Computer Science / Engineering)
• Data Management certification is a plus

Experience

• 4–7 years of relevant experience in Data Engineering / Analytics

? Skills Required

Generic Skills

• Strong passion for data and its impact on decision-making
• Ability to perform under pressure in a dynamic environment
• Strong attention to detail, accuracy, and time management
• Analytical thinking and problem-solving ability
• Effective communication and stakeholder management

Technical Skills

• Strong expertise in SQL (must-have)
• Hands-on experience with Hadoop-based Big Data platforms
• Understanding of BI, DWH methodologies, and SDLC
• Experience with large-scale analytical data marts
• Strong data analysis capability
• Knowledge of:
  • Hadoop ecosystem (HDFS, MapReduce, Spark, Hive, YARN)
  • Teradata
  • Python & Shell scripting
  • Basic analytics tools & technologies
• Basic understanding of telecom/cellular business is preferred

? Source: Official Careers Portal
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