EXECUTIVE DI – DATA ENGINEER

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

? JOB PURPOSE

Join the Data Management Team in a key Data Engineering & ETL Development role, contributing to building, optimizing, and maintaining enterprise data pipelines and analytics infrastructure.

?? KEY RESPONSIBILITIES

• Understand business requirements through formal sessions and direct stakeholder interactions
• Design, develop, and maintain robust ETL pipelines and end-to-end data loading processes
• Investigate data anomalies and resolve data quality issues effectively
• Provide timely operational support during system failures or data pipeline disruptions
• Participate in enterprise-level data engineering and data platform initiatives
• Ensure accuracy, reliability, and efficiency of large-scale analytical data systems
• Collaborate with cross-functional teams for data-driven decision-making support

? ELIGIBILITY CRITERIA

Education

• Bachelor’s degree or higher in Computer Science, Software Engineering, or related field
• Specialization in Data/IT fields will be preferred

Experience

• 1–3 years of relevant experience in Data Engineering, Data Analytics, or similar roles

? SKILLS REQUIREMENTS

Generic Skills

• Strong passion for data, analytics, and business intelligence
• Ability to perform under pressure in a dynamic environment
• Strong analytical thinking and problem-solving skills
• Excellent communication and stakeholder management abilities
• Time management, adaptability, and attention to detail
• Team collaboration and result-oriented mindset

Technical Skills

• Strong expertise in SQL (mandatory)
• Solid understanding of Data Management principles
• Basic knowledge of Telecom/Cellular industry (preferred)
• Familiarity with BI & Data Warehouse (DWH) architecture and SDLC
• Experience with large-scale analytical data systems
• Understanding of data governance (metadata, quality, standards)
• Knowledge of Teradata (preferred)
• Basic exposure to Hadoop and analytics tools
• Experience in Shell scripting and ETL automation
• Data cleaning, transformation, and purging techniques

? ADDITIONAL INFORMATION

• Hands-on experience in data analysis and reporting
• Ability to deliver fast and accurate data-driven solutions for business stakeholders
• Exposure to scripting and automation in ETL workflows will be an advantage

? Source: Official Careers Portal
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