Summary: Seeking a Data Engineer with strong SQL skills to build and implement data pipelines, migrate existing systems, and automate processes to drive impactful data solutions. Highlights: 1. Build and implement new data pipelines for the Creator Economy 2. Enhance scalability and efficiency of existing data pipelines 3. Streamline monthly processes through automation We are seeking a **Data Engineer** to join our organization. The successful candidate will have a deep understanding of SQL and enjoy combining analytical skills with business insight to generate impactful data solutions that drive our company forward. **Responsibilities** * Build and implement new data pipelines for the Creator Economy, ensuring adaptability to changing data structures and supporting a variety of data formats and scenarios * Migrate the existing Engagement Payout (EP) pipeline to Databricks, enhancing its scalability, efficiency, and maintainability * Streamline the monthly EP process by automating repetitive steps to improve accuracy and reduce manual effort **Requirements** * At least 2 years of experience in a Data Engineer role * Strong command of SQL for data manipulation and analysis, particularly in Databricks environments * Experience working with web\-scale databases such as Databricks to manage large datasets * Skilled in ETL and ELT operations using tools like Airflow for data integration and workflow automation * Capable of managing priorities and delivering results quickly in a dynamic environment * English proficiency at B2\+ level or above, both written and spoken **Nice to have** * Knowledge of Snowflake or BigQuery for scalable, cloud\-based data warehousing * Experience with Tableau or other reporting platforms for data visualization and reporting * Familiarity with product metrics like LTV, ARPPU, and Retention, including calculation methods * Experience in the gaming sector * Proficiency in Python and Pyspark for advanced data processing and pipeline creation * Background working with Amazon S3 for data storage and retrieval