Senior Data Engineer

DATA ENGINEER EXPERIENCE - 5-8 yrs LOCATION - NOIDA WORK MODE - HYBRID Job Description: Key Responsibilities: Data Pipeline Development : Design, build, and optimize scalable ETL/ELT pipelines to process and transform data from various sources into Snowflake. Data Modeling : Build and maintain data models within Snowflake for optimized querying and reporting. Cloud Infrastructure : Leverage AWS services (e.g., S3, Redshift, Lambda, Glue) for data storage, processing, and orchestration. Automation : Implement automated workflows using AWS Glue, Apache Airflow, or similar tools to streamline data processing and reduce manual intervention. Data Quality : Ensure high-quality data by implementing data validation, data cleansing, and data transformation processes. Collaboration : Work closely with cross-functional teams (e.g., data scientists, analysts) to understand business requirements and develop data solutions that meet those needs. Communication : Effectively communicate technical concepts and project progress to both technical and non-technical stakeholders.