Data Engineer

Overview

Data Engineer role on TEOCO's Bangalore Audit Services team, building and maintaining automated audit programs that identify telecom billing disputes, cost-saving opportunities and data anomalies.

What you'll do

• Develop and maintain automated audit programs to identify potential telecom billing disputes, cost-saving opportunities, and data anomalies.
• Use programming and analytics tools, including R, Python, KNIME, Strategy, and SQL, to analyze telecom spend and billing data.
• Work with multiple data sources, including invoice, inventory, ordering, contract, and industry databases.
• Execute, modify, and optimize existing LLM and Alteryx workflows as required.
• Assist in developing bots to automate research activities and repetitive tasks.
• Investigate identified anomalies and generate outputs to support further audit and dispute analysis.
• Develop an understanding of telecom products, billing concepts, and relevant industry databases.
• Collaborate with internal teams and US-based stakeholders to understand requirements and deliver audit solutions.
• Ensure accuracy, quality, and reliability of audit programs and analytical outputs.

What you'll need

• Bachelor's degree, preferably in Finance, Economics, Mathematics, Computer Science, Business/Data Analytics, Information Systems, Statistics, or a related field.
• Demonstrated proficiency in at least one of the following: R, Python, or KNIME.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and accuracy.
• Ability to learn new technologies, tools, and business concepts quickly.
• A basic understanding of telecommunications products and billing concepts is required; training will be provided where necessary.
• Understanding of various databases and data tables, including invoice data (BTOD), client-specific inventory and ordering data, vendor contract data, and industry databases such as NECA and LERG.

Nice to have

• Prior experience with SQL and Microsoft Office, particularly Excel.
• Prior experience or exposure to the telecommunications industry.
• Familiarity with Claude, Alteryx, LLM tools, or AI-driven automation.
• Good communication and organizational skills.
• Ability to work independently as well as collaboratively in a team environment.

Details

• Hybrid role combining office-based and remote work.
• Occasional flexibility to work later hours on remote days may be required to attend meetings with US-based users and counterparts.