Muller's Solutions is seeking an experienced Data Engineer with 5–6 years of experience in designing, developing, and maintaining scalable data solutions. The ideal candidate should possess strong expertise in Python, Pandas, NumPy, Airflow, BigQuery, SQL, and API development. The candidate will play a key role in building robust data pipelines, processing large datasets, and supporting business-critical applications related to inventory optimization, master data management, and backend services.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion and processing.
• Build and optimize data workflows using Apache Airflow.
• Develop and maintain data processing solutions using Python, Pandas, and NumPy.
• Design and optimize complex SQL queries