Data Engineer at Airtel

Bharti Airtel Limited is a leading global telecommunications company with operations in 20 countries across Asia and Africa. With headquarters in New Delhi, India, the company ranks amongst the top 5 mobile service providers globally in terms of subscribers. In India, the company's product offerings include 2G,3G and 4G services, fixed line, high speed broadband through DSL,IPTV, DTH, enterprise services including national & international long distance services to carriers. In the rest of the geographies, it offers 2G, 3G mobile services. Bharti Airtel had over 264 million customers across its operations at the end of July 2012.

As a Data Engineer, you will interact with the engineering team to solve problems and build, extend, optimize and refactor the back-end architecture of our growing products. This will involve working on our existing codebase along with new projects. Airtel Africa Digital Labs (AADL) has a highly passionate engineering-driven environment where your contribution will be felt immediately. All teams at AADL are involved in every part of our development life cycle.

Responsibilities

• Efficient, scalable, and high-quality data architecture: Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Continuous availability of clean, accurate, and up-to-date data: Acquire data from primary or secondary data sources and maintain databases/data systems
• Actionable insights that inform strategic business decisions: Identify, analyze, and interpret trends or patterns in complex data sets
• Increased stakeholder satisfaction with analytics outputs: Work with management to prioritize business and information needs
• Seamless integration of data solutions with infrastructure and systems: Coordinate with Infrastructure Team, System Engineering & DBA groups.
• Reduced operational overhead and improved service delivery: Understand the capabilities of platform and ensure effective delivery/operations engagement

Educational Qualifications:

• A Bachelor’s degree in ICT, Computer Science, Electronics Engineering, or related field from a recognized university
• 5+ years’ experience 
• Demonstrable knowledge of relational database i.e. Oracle, Sql, MySQL
• Scripting language – Shell or Python 
• A good understating on Payment Banks and the architecture

Relevant Experience:

• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Strong knowledge of and experience with reporting packages, databases, programming frameworks.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

Other requirements: 

• Out of many tools and technologies, we use Java, MongoDb, Cassandra, Redis, Twem, Netty extensively for our back-end development; knowledge of these tools will be an added advantage.  

Method of Application