Airtel
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Gurugram · On-site · 1-3 Yrs · Sep 30
Telecommunications Services · 10000+ Employees · New Delhi, India
Airtel was founded to provide global connectivity and unlock endless opportunities. Our organization embodies a unique blend of energy, innovation, creativity, dedication, scale, and ownership, all aimed at being limitless. At Airtel, we strive to go beyond our duties to create impactful solutions for our consumers. Our team is highly skilled and constantly growing, actively developing infrastructure to introduce cutting-edge technologies like 5G, IoT, IQ, and Airtel Black. We have successfully launched 5G services in over 5,000 cities and towns nationwide, with 10 million unique customers on the 5G network nationally. Airtel Black is another convenient consumer service that provides combined billing for family and friends under a single bill. We also offer enterprise solutions, including national and international long-distance services for carriers. With a subscriber base exceeding 574 million as of 2023, we are committed to delivering effective products that contribute to the realization of a 'Digital India', enabling millions of individuals to connect and thrive for a brighter future. Our presence spans 7,915 census and 802,577 non-census towns and villages, covering almost 96% of the country's population with 388,726 Rkms of optical fiber and an extensive distribution network of 1.2 million outlets. We've also implemented conservation initiatives that have saved 14,676 MWh of electricity, 4412 tonnes of paper through our e-bill initiatives, and recycled 3330 tonnes of e-waste. At Airtel, we believe in taking early ownership, delivering quality, and experimenting with various career paths to boost our trajectories and gain valuable insights into the business, making us the best in the industry. We are committed to creating the ultimate experience for our consumers while maintaining an ecological balance in the world.
Hiring: Engineering
What employees say
+ Good atmosphere of the office
− Not as such cons for it
More reviews on the company profile.
Interview experience · Software Development Engineer (SDE)
Campus placement, it was really bad - the interviewers stretched my interview for 2 hours honing me with questions unrelated to the jd - and ultimately did not take me to the next round. I think the interview process sel
Average difficulty · Gurgaon, Haryana · 787 reports
More interview insightsJob description
Overview
We are looking for an experienced Big Data Engineer – Analytics Track to build and maintain enterprise-scale analytics data products and reporting solutions.
Responsibilities
- Design, develop, and maintain scalable DBT models and data pipelines.
- Apply Medallion and Data Mesh architecture principles.
- Build incremental and full-load transformation frameworks using DBT.
- Develop reusable macros, tests, snapshots, and documentation.
- Implement automated validation and reconciliation checks to ensure data quality.
- Optimise DBT models for performance, scalability, and cost efficiency.
- Data Modelling
- Develop enterprise and dimensional data models, including Star Schemas and Fact-Dimension structures.
- Design subject-area data marts for Finance, SCM, Customer, Sales, and Operations.
- Define KPI calculations, business metrics, and semantic-layer standards.
- Translate business requirements into well-designed analytical data products.
- Reporting & Analytics Enablement
- Support BI and reporting platforms such as Metabase, Power BI, Tableau, or equivalent tools.
- Build curated datasets for dashboards and self-service analytics.
- Develop reconciliation and operational monitoring reports.
- Enable conversational analytics and KPI-driven reporting frameworks.
- Engineering & DevOps
- Manage workflow orchestration and scheduling using Airflow.
- Implement CI/CD practices for DBT deployments.
- Conduct code reviews and establish engineering standards.
- Monitor production jobs and troubleshoot performance bottlenecks.
- Participate in release planning, deployments, and production support.
- Stakeholder Management
- Partner with business users and functional teams to understand requirements.
- Lead requirement workshops and solution discussions.
- Prepare technical documentation, HLDs, source-to-target mappings, and data lineage artefacts.
- Mentor junior developers and analysts.
Qualifications
- Strong understanding of data warehousing concepts
- Airflow workflow orchestration
- Git/Bitbucket version control
- Big Data Query performance tuning and optimisation
- Big Data architecture and implementation
- Data quality and reconciliation frameworks
- Database Technologies
- Oracle
- Hive
- Spark
- BI & Visualisation
- Metabase
- Tableau
- Power BI or equivalent BI platforms
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Job application FAQ
Last updated 3 October 2026
- How do I apply for Big Data Engineer – Analytics Track at Airtel?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Airtel may attach structured assessments to interview rounds after you apply.
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- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Big Data Engineer – Analytics Track remote or on-site in Gurugram, Haryana?
- This listing is marked on_site with location Gurugram, Haryana. Confirm details on the job description before applying.
- What skills matter for this Big Data Engineer – Analytics Track role at Airtel?
- This is a mid-level Big Data Engineer – Analytics Track role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.