About the role
Develop and implement quantitative software applications to process and analyze real-time financial market data in a high-performance computing environment
Maintain and optimize existing software applications, and recommend and implement improvements
Design, develop, solutions using Python and PySpark in spark/Hadoop environment.
Build, optimize, and troubleshoot ETL workflows to extract, transform, and load data from diverse sources into big data platforms
Collaborate with data engineers, data scientists, and business stakeholders to gather requirements and deliver data-driven solutions
Ensure data quality, consistency, and integrity throughout the data lifecycle
Monitor, debug, and optimize data processing jobs for performance and scalability
Document technical solutions, workflows, and best practices for knowledge sharing
About the company
Bharti Airtel Limited is a leading global telecommunications company with operations in 20 countries across Asia and Africa. Headquartered in New Delhi, India, the company ranks amongst the top 3 mobile service providers globally in terms of subscribers. In India, the company's product offerings include 2G, 3G and 4G wireless services, mobile commerce, fixed line services, high speed DSL broadband, IPTV, DTH, enterprise services including national & international long distance services to carriers. In the rest of the geographies, it offers 2G, 3G and 4G wireless services and mobile commerce. Bharti Airtel had over 331 million customers across its operations at the end of June 2015.
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