Data Engineer

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Job Description About the Role We are seeking an experienced Data Engineer to design, develop and optimize scalable data pipelines and analytics infrastructure. The successful candidate will work across the full data lifecycle, including data ingestion, transformation, modelling and delivery of high-performance analytical datasets. The role requires strong hands-on experience in Snowflake, Python and ETL/ELT , with exposure to real-time analytical platforms such as Apache Doris. Key Responsibilities Design, develop and maintain scalable ETL/ELT pipelines for structured and semi-structured data. Build data pipelines integrating multiple data sources with Snowflake and analytical platforms. Develop and optimize data models, schemas and partitioning strategies for analytical workloads. Perform SQL query optimization and data warehouse performance tuning. Manage Snowflake warehouses, including sizing, resource utilization, monitoring and cost optimization. Develop and maintain workflow orchestration using tools such as Airflow, dbt, Dagster or similar. Implement data quality checks, validation and pipeline monitoring. Support data integration and migration initiatives involving transactional systems, data lakes and cloud data warehouses. Collaborate with data analysts, data scientists and BI teams to translate business requirements into scalable data solutions. Implement data governance, security and access-control practices, including RBAC and data protection. Maintain technical

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