Senior Data Engineer

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

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qlub

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

🍽️ Food & Beverage

🏨 Hospitality

📦 Logistics

💰 Seed Round on 2023-03

Food & Beverage • Hospitality • Logistics

qlub is a leading provider of ultra-fast restaurant payment solutions that enable guests to view and pay their bills in seconds. By integrating seamlessly with existing restaurant POS systems, qlub enhances the dining experience through instant bill viewing, digital payment options, and efficient service that boosts tips and reviews. With a focus on security, convenience, and customer satisfaction, qlub is trusted by over 3,000 restaurants, hotels, and hospitality businesses in the UAE and beyond.

📋 Description

• Own ingestion from transactional databases via CDC, SaaS sources, application events, and third-party APIs • Handle backfills, retries, schema changes, and late-arriving data • Own the dbt project end to end, from staging through marts, including tests, documentation, incremental models, naming conventions, and contracts • Optimize BigQuery using partitioning, clustering, query tuning, and cost monitoring • Serve low-latency analytics from an OLAP store such as ClickHouse through table design, sorting keys, materialized views, and aggregation strategy • Manage the GCP estate around the warehouse, including Cloud Storage, Cloud Run services, IAM, and reads from external sources • Run production Airflow scheduling, dependencies, retries, alerting, and operational processes • Implement freshness and quality checks and resolve root causes • Establish CI/CD and tests for data code • Identify and deploy useful LLM and agent applications for data discovery, quality monitoring, and troubleshooting • Review code, mentor junior and mid-level engineers, and document decisions and runbooks • Collaborate with engineering, product, design, and operations teams

🎯 Requirements

• 5+ years in data or backend engineering, most of it on production systems • Strong Python, with years of writing and debugging production pipelines and services • Advanced SQL: window functions, complex transformations, and knowing why a query is slow • 2+ years of production dbt experience, including incremental models, macros, tests and docs • Experience running production Airflow DAGs, including backfills, monitoring and troubleshooting when things break • Strong BigQuery skills: modelling, partitioning, clustering, and query and cost tuning • Good knowledge of GCP, including Cloud Storage, IAM and general cloud data infrastructure • Solid PostgreSQL experience: indexing, query performance and incremental extraction • Experience with stream or distributed processing, such as Apache Flink or similar • Comfortable working on a Linux VM: Bash, cron, Docker, reading logs, SSH and basic networking • Strong engineering practice with Git, CI/CD, tests and code review, writing code other people can maintain • Nice to have: experience with ClickHouse or production OLAP, managed ETL/ELT platforms such as Airbyte or Fivetran, Datastream, Kafka, Debezium, Kubernetes, Terraform, Tableau or Power BI, LLM APIs, RAG, agent frameworks, data observability tools, AWS • A CS or engineering degree is nice to have, not required

🏖️ Benefits

• Real ownership over products that impact millions of diners and thousands of restaurants globally • The opportunity to solve challenging problems in payments, hospitality, and customer experience • A fast-moving environment where great ideas quickly become reality • Close collaboration with experienced operators, builders, and industry experts • A chance to leave a visible mark on one of the fastest-growing restaurant technology companies globally

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