Data Engineer (Travel and Transportation sphere)

<h2 class="vacancy-row__title">Company Background</h2> <p>Our client is an international team of industry and domain experts focused on transforming the travel and transportation industry through advanced, data-driven technologies. By applying deep learning and modern analytics, the company helps airlines maximize revenue, improve forecasting accuracy, and achieve commercial success at scale.</p> <h2 class="vacancy-row__title">Project Description</h2> <p data-start="527" data-end="908">You will be responsible for onboarding new customers and delivering high-performance, reliable data pipelines. You will work closely with customers and internal stakeholders to ensure rapid time-to-value, building scalable data ingestion, transformation, and analytics solutions on Google Cloud Platform. The position involves daily hands-on work with core data engineering tools and occasional use of streaming, infrastructure, and container orchestration technologies. The role also includes participation in on-call support to ensure production reliability.</p> <h2 class="vacancy-row__title">Technologies</h2> <ul class="badges"> <li>DBT</li> <li>Google BigQuery</li> <li>Google Cloud Storage</li> <li>Google Composer (Apache Airflow)</li> <li>Python</li> <li>Docker</li> <li>Kafka</li> <li>Google Dataflow</li> <li>Terraform</li> <li>Google Kubernetes Engine (GKE)</li> </ul> <h2 class="vacancy-row__title">What You'll Do</h2> <ul> <li data-start="1401" data-end="1472">Deliver complex customer data ingestion and data warehousing projects</li> <li data-start="1475" data-end="1546">Build, maintain, and optimize data transformation workflows using DBT</li> <li data-start="1549" data-end="1629">Develop scalable, standardized ETL/ELT pipelines with enterprise-grade quality</li> <li data-start="1632" data-end="1704">Orchestrate and monitor data workflows using Google Composer (Airflow)</li> <li data-start="1707" data-end="1804">Collaborate with stakeholders across data discovery, ETL development, QA/QC, and SLA definition</li> <li data-start="1807" data-end="1861">Support onboarding and ingestion of new data sources</li> <li data-start="1864" data-end="1908">Maintain and evolve analytical data models</li> <li data-start="1911" data-end="1972">Define and implement data validation and testing frameworks</li> <li data-start="1975" data-end="2045">Provide production support via PagerDuty</li> </ul> <h2 class="vacancy-row__title">Job Requirements</h2> <ul> <li data-start="2087" data-end="2135">5+ years of experience in Data Engineering</li> <li data-start="2138" data-end="2179">Strong hands-on experience with DBT</li> <li data-start="2182" data-end="2264">Solid experience with Google BigQuery as a primary analytical data warehouse</li> <li data-start="2267" data-end="2317">Experience working with Google Cloud Storage</li> <li data-start="2320" data-end="2380">Daily experience with Google Composer / Apache Airflow</li> <li data-start="2383" data-end="2443">Strong Python skills for data pipelines and automation</li> <li data-start="2446" data-end="2474">Experience with Docker</li> <li data-start="2477" data-end="2545">Familiarity with Kafka for event-driven or streaming ingestion</li> <li data-start="2548" data-end="2620">Experience with Google Dataflow for batch and streaming processing</li> <li data-start="2623" data-end="2677">Exposure to Terraform for infrastructure-as-code</li> <li data-start="2680" data-end="2732">Experience with Google Kubernetes Engine (GKE)</li> <li data-start="2735" data-end="2818">Strong understanding of data quality, reliability, and scalability best practices</li> <li data-start="2821" data-end="2877">Willingness to participate in on-call support</li> <li data-start="2880" data-end="2934">English level: B2 (Upper-Intermediate) or higher</li> </ul> <h2 class="vacancy-row__title">What Do We Offer</h2> <p>The global benefits package includes:</p> <ul> <li>Technical and non-technical training for professional and personal growth;</li> <li>Internal conferences and meetups to learn from industry experts;</li> <li>Support and mentorship from an experienced employee to help you professional grow and development;</li> <li>Internal startup incubator;</li> <li>Health insurance;</li> <li>English courses;</li> <li>Sports activities to promote a healthy lifestyle;</li> <li>Flexible work options, including remote and hybrid opportunities;</li> <li>Referral program for bringing in new talent;</li> <li>Work anniversary program and additional vacation days.</li> </ul>