Job Description

We are looking for a Middle DWH Engineer to design, build, and maintain scalable data warehouse solutions that support analytics and business decision-making. You will work across the full data lifecycle - from data ingestion and transformation to orchestration and optimization - while collaborating with analysts, engineers, and business stakeholders.

📅 Your adventures include:

• design, develop, and maintain DWH and Data Lake solutions aligned with business requirements;
• build, optimize, and support ETL/ELT pipelines using Python, SQL, Airflow, and related technologies;
• integrate and maintain data flows from APIs, databases, SaaS platforms, and third-party systems;
• work with PostgreSQL, Trino, and cloud-based analytical platforms to support reporting and analytics needs;
• implement and support incremental loading, CDC processes, backfills, and reprocessing workflows;
• monitor, troubleshoot, and improve data pipelines to ensure reliability, stability, and timely delivery of data;
• implement data quality checks, validation rules, and automated monitoring processes;
• optimize SQL queries, data models, and pipeline performance;
• collaborate with analysts, BI developers, engineers, and business stakeholders to deliver scalable data solutions;
• participate in code reviews and contribute to engineering standards and best practices.

Requirements

🧭 What makes you a great match:

• strong SQL skills, including complex queries, CTEs, window functions, analytical queries, and query optimization (3+ years);
• strong experience integrating external data sources, including REST APIs, databases, SaaS platforms, and third-party systems; ability to design, develop, troubleshoot, and maintain reliable data ingestion processes in production environments (3+ years);
• experience with Apache Airflow or similar workflow orchestration tools (3+ years);
• experience with Python for data processing, integrations, and automation (2+ years);
• good understanding of DWH concepts, including ETL/ELT, dimensional modeling, Data Vault, and Star/Snowflake schemas (3+ years);
• experience building and supporting production data pipelines with a focus on reliability, stability, monitoring, and error handling;
• understanding of data quality principles, including validation, testing, reconciliation, and monitoring;
• hands-on experience with PostgreSQL and Trino in production environments;
• experience with modern analytical databases or cloud data warehouses (such as BigQuery, Snowflake, Redshift, ClickHouse, Vertica, Athena, or similar platforms.);
• experience with Git and collaborative development workflows (pull requests, code reviews, rebasing, merge conflict resolution).

⭐ Nice to Have

• experience with Change Data Capture (CDC) tools and incremental loading strategies;
• experience with cloud platforms such as AWS, GCP, or Azure;
• familiarity with Docker and containerized environments;
• experience with streaming or near real-time data pipelines (Kafka);
• familiarity with dbt or similar data transformation frameworks;
• experience with data cataloging, lineage, or governance tools.

Benefits

• 💸 Flexible payment options: choose the method that works best for you.
• 🧾 Tax assistance included: we handle part of your taxes and provide guidance on the local setup.
• 🎁 Financial perks: Bonuses for holidays, B-day, work milestones and more - just to show we care.
• 📈 Learn & grow: We cover courses and certifications — and offer real opportunities to grow your career with us.
• 🥐 Benefit Сafeteria: Choose what suits you — sports, language courses, therapy sessions, and more.
• 🎉 Stay connected: From team-building events to industry conferences — we bring people together online, offline, and on stage.
• 💻 Modern Equipment: We provide new laptops along with essential peripherals like monitors and headphones for a comfortable workflow.
• 🕘 Your schedule, your rules: Start your day at 9, 10, or even 11 — we care about results, not clock-ins.