Data engineer

We are seeking a Data Engineer to support the modernization and scaling of cloud data platforms and high-volume ELT pipelines for global enterprise retail and consumer leaders. In this role, you will design, build, and optimize end-to-end batch and streaming pipelines, consolidate complex business KPIs into single-source-of-truth data models, and improve warehouse query performance.

• Design, build, and maintain production-grade ELT/ETL data pipelines to ingest, transform, and consolidate large-scale data from multiple enterprise sources.
• Optimize data warehouse architectures, table structures, and query performance for business-critical reporting and advanced analytics.
• Develop data processing workflows using Python, SQL, and big data processing frameworks (such as Apache Spark / PySpark).
• Automate data pipeline scheduling, monitoring, and quality validation using modern orchestration tools (Airflow or Kubeflow).
• Establish reliable API and cloud database connectors while collaborating with business and technical stakeholders to adapt to evolving analytics requirements.

• Proven hands-on experience as a Data Engineer building and maintaining complex ELT/ETL data pipelines in enterprise environments.
• Strong proficiency in Python and advanced SQL for complex data transformations, aggregations, and performance tuning.
• Hands-on experience developing data pipelines on Google Cloud Platform (GCP) or Microsoft Azure (including services like BigQuery, GCS, Azure Data Factory, or Azure Data Lake).
• Practical experience working with big data processing frameworks (Apache Spark / PySpark) and pipeline orchestrators (Apache Airflow or Kubeflow).
• Solid background in containerization (Docker, Kubernetes) and modern CI/CD practices (GitHub Actions, Azure DevOps, or similar).
• Будет плюсом: Experience with Databricks for unified analytics and large-scale data transformation; Exposure to search, indexing, or vector storage technologies (such as Elasticsearch); Active industry cloud certifications (GCP Professional Data Engineer or Azure Data Engineer Associate)

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office