TEOCO is hiring a Data Engineer for its Bangalore Audit Services team on a hybrid basis. Despite the title, the work is analytics and automation: you build programs that scan telecom billing data and flag disputes and savings. If you like Python or R and want to learn a niche industry, read on. More openings like this are shared on the Hirecept WhatsApp jobs channel.
Role Overview
- Company: TEOCO
- Role: Data Engineer, Business Services department (Automation and Reporting)
- Location: Bangalore, hybrid (office plus remote days)
- Experience: the posting does not state years, and says training will be provided
- Pay: not listed
Eligibility for the TEOCO Data Engineer role
A bachelor's degree, preferably in Finance, Economics, Mathematics, Computer Science, Business or Data Analytics, Information Systems or Statistics. You also need demonstrated skill in at least one of R, Python or KNIME.
Skills required
Essential: proficiency in R, Python or KNIME, strong analytical and problem-solving skills, attention to detail, and the ability to pick up tools and business ideas quickly.
Desirable: SQL, Microsoft Excel, exposure to the telecom industry, familiarity with Claude, Alteryx, LLM tools or AI-driven automation, good communication, and the ability to work alone and in a team.
What the role involves
You will develop and maintain automated audit programs that look for potential telecom billing disputes, cost savings and data anomalies. The data comes from invoices, inventory and ordering records and vendor contracts, plus industry databases such as NECA and LERG. You will use R, Python, KNIME, Strategy and SQL, run or modify existing LLM and Alteryx workflows, help build bots that automate research and repetitive work, and investigate the anomalies your programs find so the audit team can follow up. You will also work with US-based stakeholders, and the posting says you may need to stretch your hours on remote days for meetings with them.
Who it suits
It fits a graduate who has done data projects in Python or R and wants to see how business data turns into money saved. It also suits someone curious about AI-assisted workflows, since the posting names LLM tools directly. If you want a core software engineering role, note that the focus here is audit analytics.
How to stand out
- Bring a project that cleans and flags anomalies in a real dataset, such as invoices or transactions, and explain your logic.
- Practise SQL joins and aggregation, because the data spans several tables.
- Read a short primer on how telecom billing works. The posting says basic telecom understanding is needed and training is given, so showing early effort will help.
- Be ready to talk about how you use AI tools and how you verify their output (an inference from the tools listed).
Check before you apply
- Years of experience and salary are not mentioned.
- Late meetings with US teams are possible on remote days. Ask how often.
- Confirm how many days a week are in the office.
FAQs
Can freshers apply? The posting does not state an experience requirement and says training will be provided. It does ask for proven skill in R, Python or KNIME.
Is this a work from home job? Hybrid, a mix of office and remote work.
Is the salary mentioned? No.
Do I need telecom knowledge? Basic understanding is part of the role, and training is offered.
Where can I find similar data roles? Try the latest quick openings on Hirecept.
Related openings
Other data and AI roles: Associate Data Scientist at TriNet in Hyderabad, AI Engineer at AMETEK in Bangalore and Databricks developer at AXA XL. Follow Hirecept on Instagram for quick updates. Details come from the employer's posting and can change.
