Big Data Engineer (West Bengal)

Experience Required: 3-5+ Years CTC: 4.5-6 LPA Employment Type: Full time About 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 & Monitoring
- Monitor 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 Qualifications
- Experience 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. Apply on Kit Job: kitjob.in/job/4nbpa3