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Gintaa
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Kolkata · On-site · ₹5-6 LPA · 1-3 Yrs · Sep 22
3 views
3 open roles1 posted in 7d3 in 30d
Hiring: Engineering
Job description
Overview
Experience Required: 3-5+ YearsCTC: 4.5-6 LPAEmployment Type: Full-timeAbout Gintaa:At Gintaa, were redefining how India orders food.
Responsibilities
- Experience Required: 3-5+ YearsCTC: 4.5-6 LPAEmployment Type: Full-timeAbout Gintaa:At Gintaa, were redefining how India orders food. With our focus on affordability, exclusive restaurant partnerships, and hyperlocal logistics, we aim to scale across Indias Tier 1 and Tier 2 cities. Were backed by a mission-driven team and expanding rapidly, nows the time to join the core leadership and build something impactful from the ground up.Key Responsibilities:Data Engineering & Pipeline Development
- Design, build, and maintain scalable ETL/ELT data pipelines.
- Develop real-time and batch ingestion workflows across PostgreSQL, MongoDB, Firestore, and BigQuery.
- Implement CDC-based ingestion pipelines using Debezium and cloud-native architectures.
- Ensure reliability, monitoring, validation, and reconciliation of production data workflows.BigQuery & Analytics Engineering
- Design optimized BigQuery datasets for high-volume analytical workloads.
- Develop complex SQL transformations using joins, CTEs, window functions, aggregations, and event sequencing logic.
- Build scalable analytical data models for reporting and business intelligence.
- Optimize query performance and reduce analytical processing cost.Product Analytics & Event Processing
- Work extensively with GA4 event-level datasets and behavioral analytics systems.
- Build KPI frameworks, conversion funnels, cohort analysis, and drop-off tracking systems.Engineer reusable analytics datasets for dashboarding and reporting.
- Ensure metric correctness and event consistency across analytics systems.Recommendation & Scoring Systems
- Develop heuristic and weighted-scoring recommendation engines.
- Implement seller scoring, item ranking, and operational performance tracking systems.
- Optimize recommendation workflows for scalability and maintainability.Handle large-scale batch computation efficiently.Web Scraping & Data Enrichment
- Build scraping pipelines using Selenium and BeautifulSoup.Perform text preprocessing, normalization, cleaning, and transformation.Enrich internal datasets using external structured and semi-structured sources.
- Automate repetitive data collection and processing workflows.Production Reliability & MonitoringMonitor and resolve production-level data pipeline issues.Perform root cause analysis (RCA) for data inconsistencies and failures.
- Implement validation and debugging mechanisms for critical analytics systems.
- Ensure stability, scalability, and reliability of production analytics infrastructure.Preferred QualificationsExperience working with high-volume event-driven systems.Strong understanding of analytics engineering and reporting layers.Hands-on experience with funnel analysis and behavioral analytics.Familiarity with distributed data processing and scalable architectures.Problem-solving mindset with strong debugging capabilities.
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Job application FAQ
Last updated 4 October 2026
- How do I apply for Big Data Engineer at Gintaa?
- 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. Gintaa may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Big Data Engineer role?
- 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 remote or on-site in Kolkata, West Bengal?
- This listing is marked on_site with location Kolkata, West Bengal. Confirm details on the job description before applying.
- What skills matter for this Big Data Engineer role at Gintaa?
- This is a mid-level Big Data Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.