Senior Data Engineer (Python | SQL | Airflow | Snowflake/Databricks | AWS/GCP)

We are looking for an experienced Senior Data Engineer to design, build, and maintain scalable, production-grade data platforms that power analytics, reporting, AI/ML, and business decision-making. The ideal candidate has strong experience designing data architectures, building reliable ETL/ELT pipelines, optimizing data warehouses, and working with modern cloud-based data platforms. You should be comfortable owning projects end-to-end, collaborating with cross-functional teams, and mentoring other engineers. Responsibilities - Design and develop scalable data pipelines for batch and streaming workloads. - Build and maintain reliable ETL/ELT workflows. - Design efficient data models for analytics and reporting. - Optimize SQL queries, warehouse performance, and storage costs. - Develop production-quality Python code with testing and documentation. - Build data quality validation and monitoring frameworks. - Implement orchestration using Airflow, Dagster, or similar tools. - Work with cloud services on AWS, Azure, or GCP. - Design scalable data architectures that support business growth. - Collaborate with product managers, analysts, data scientists, and software engineers. - Troubleshoot production data issues and improve system reliability. - Mentor junior engineers through code reviews and technical guidance. Required Skills - 5+ years of Data Engineering experience - Strong English skills - Strong SQL skills - Strong Python programming - Experience with Snowflake, Databricks, BigQuery, or Redshift - Airflow or Dagster - AWS, Azure, or GCP - Data modeling (Star Schema, Snowflake Schema, Dimensional Modeling) - ETL/ELT development - Git - CI/CD - Docker (preferred) - Spark/PySpark (preferred) - Kafka or streaming technologies (nice to have) Nice to Have - dbt - Terraform - Kubernetes - Delta Lake - Iceberg - ML pipelines - Data governance - Great Expectations - Monte Carlo - OpenMetadata - Deliverables - Production-ready ETL pipelines - Well-designed data warehouse - Clean and maintainable code - Monitoring and alerting - Documentation - Performance optimization - Automated testing - Data quality checks Strong English skill is mandatory so please don't apply if your english is not above B2