Data Engineer

Role: Data EngineerKey Responsibilities:Design, build, and maintain data pipelines and ETL processes.Develop and optimize data workflows for large datasets.Work with databases, data warehouses, and cloud data platforms.Write SQL and Python/PySpark for data processing and transformation.Ensure data quality, accuracy, and performance.Collaborate with Data Analysts, Developers, and Business teams.Monitor and troubleshoot data pipelines and production issues.Implement automation and improve data processing efficiency.Required Skills:3+ years of Data Engineering experience.Strong SQL and Python/PySpark skills.Experience with ETL/ELT and data pipelines.Knowledge of AWS/Azure/GCP or cloud data platforms.Experience with databases/data warehouses.Good understanding of data modeling and data integration.Experience with tools such as Spark, Airflow, Kafka is an advantage.