Design, develop, and maintain data pipelines and ETL processes using AWS and Snowflake.Implement data transformation workflows using DBT (Data Build Tool).Write efficient, reusable, and reliable code in Python.Optimize and tune data solutions for performance and scalability.Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.Ensure data quality and integrity through rigorous testing and validation.Stay updated with the latest industry trends and technologies in data engineering. Bachelor's or Master's degree in Computer Science, Engineering, or a related field.Proven experience as a Data Engineer or similar role.Strong proficiency in AWS and Snowflake.Expertise in DBT and Python programming.Experience with data modeling, ETL processes, and data warehousing.Familiarity with cloud platforms and services.Excellent problem-solving skills and attention to detail.Strong communication and teamwork abilities.
Data Engineer Must have 9+ years of experience in below mentioned skills. Must Have: Big Data Concepts Python(Core Python- Able to write code), SQL, Shell Scripting, AWS S3 Good to Have: Event-driven/AWA SQS, Microservices, API Development,Kafka, Kubernetes, Argo, Amazon Redshift, Amazon Aurora
