Data Engineer

Zexter; United States; Remote; USD 150,000 - 190,000; Full time

Benefits offered by this job

Fully remote work

Competitive salary

Career growth opportunities

Job summary

ZEXTER ищет Lead Data Engineer для проектирования и развёртывания многоарендной Lakehouse: от ingestion через Kafka до data marts в ClickHouse с сегментацией доступа и моделью арендаторов. Требуются 6+ лет опыта, продвинутый SQL и Python, знание Kafka, Airflow и ClickHouse. В рамках роли — разработка ETL/ELT-процессов, настройка RBAC и мониторинга.

Работа полностью удалённо по всему миру, конкурентная заработная плата и возможность влиять на архитектуру продукта.

Qualifications

• 6+ лет опыта Data Engineering

Responsibilities

• Разработка многоарендной архитектуры Lakehouse
• Обеспечение изоляции данных между арендаторами на уровне хранения, каталога и data marts
• Оркестрация пайплайнов через Apache Airflow
• Настройка доступа на уровне роли и аудит
• Работа с аналитическими базами данных и обеспечением качества данных
• Сотрудничество с аналитиками и бизнес-командами для подготовки готовых наборов данных

Skills

SQL продвинутый

Python

Kafka

Airflow

ClickHouse

Data modeling

BI для внешних клиентов

Terraform

Docker

Kubernetes

Tools

ClickHouse

Kafka

Airflow

dbt

Terraform

Docker

Kubernetes

Elasticsearch

Job description

Описание:

ZEXTER is a technology company developing its own full-stack platform for the digital entertainment and iGaming ecosystem. We build scalable technology solutions for operators, creators, and digital businesses, helping them launch, manage, scale and monetize their products more efficiently. We are looking for a Lead Data Engineer to design a multi-tenant Lakehouse and take it to production: from ingestion via Kafka to data marts in ClickHouse, with data isolation, role-based access, and onboarding of new tenants.

Задачи:

Design a multi-tenant Data Lakehouse architecture Build tenant data isolation across all layers: storage, catalog, data marts, and access. Build ingestion and stream processing via Kafka: website/app events, transactions, bets, bonuses, and partner data. Develop batch/ELT pipelines and transformations in dbt with per-tenant logic. Orchestrate pipelines in Apache Airflow, including onboarding of new tenants. Design data marts and the serving layer in ClickHouse for fast B2B analytics and BI. Implement access segregation: tenant-aware roles, and access auditing. Set up data quality, monitoring, alerting, and tenant-level documentation. Optimize cost and query performance as the number of tenants grows. Participate in tool selection and architectural decisions. Work with analysts, BI, and product teams: turn raw data into clear and reliable datasets for B2B clients. Account for security, isolation, and, where applicable, iGaming regulatory requirements.

Требования:

6+ years in Data Engineering. Advanced SQL and strong Python. Experience designing data warehouses/data lakes Experience building multi-tenant analytics platforms or B2B analytics: data isolation, tenant-aware models, access segregation. Experience with Apache Kafka and stream processing. Experience with Apache Airflow. Experience with analytical databases, ClickHouse is a must. Understanding SQL engines over a Lakehouse. Data modeling experience: raw/staging/marts layers, dimensional models, SCD, incremental loads, per-tenant partitioning. Understanding of row-level security, role-based models, and access auditing. Experience with data CI/CD, data tests, versioning, and documentation. Ability to work autonomously and take ownership of architecture and results. Experience in iGaming / betting / gambling. Understanding of GGR, NGR, LTV, RTP, retention, and funnel metrics. Experience with ElasticSearch. Experience with Terraform, Docker, Kubernetes. Experience with BI tools and building self-service analytics for external clients. Experience optimizing cloud cost under multi-tenant load. Experience with tenant onboarding and pipeline templating.

Условия:

Fully remote work. Competitive salary. Opportunity to work in a fast-growing international iGaming company. Strong Development and Product teams. Minimal bureaucracy and the opportunity to directly influence product quality. Clear career path with the opportunity to grow. Interesting challenges and modern tools.