About the Role
We are looking for a Mid-Level Data Engineer to design, build, and maintain scalable data pipelines and data infrastructure. You will work closely with product, engineering, and analytics teams to ensure reliable, clean, and accessible data for reporting, decision-making, and business intelligence.
This role is ideal for someone who enjoys solving data challenges, improving performance, and working with modern data tools and cloud-based systems.
Key Responsibilities Build and maintain ETL/ELT pipelines for structured and semi-structured data. Design and optimize data models for analytics and reporting. Work with large datasets and ensure high data quality, accuracy, and integrity. Develop and maintain data warehouse/lake solutions. Optimize SQL queries and improve performance of pipelines. Automate data workflows using orchestration tools like Airflow or similar. Monitor data jobs and troubleshoot failures proactively. Collaborate with backend teams to integrate APIs and data sources. Ensure data security and follow best practices for governance.
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