Senior Data Engineer

We are seeking a highly skilled Senior Data Engineer to join our dynamic team in Andhra Pradesh. The ideal candidate will have extensive experience in designing and implementing data solutions using Snowflake, Python, and SQL, along with a strong understanding of AWS services such as S3, Glue, and Lambda. This role is crucial for optimizing our data processing workflows and ensuring the integrity and accessibility of our data assets. Key Responsibilities: - Design, develop, and maintain scalable ETL/ELT processes to support data ingestion and transformation. - Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. - Implement data models and architectures that support business intelligence and analytics initiatives. - Monitor and optimize data pipelines for performance and reliability. - Ensure data quality and consistency across various data sources, including PostgreSQL and Redshift. - Stay updated with the latest industry trends and technologies to continuously improve our data engineering practices. Required Skills: - Proficiency in Snowflake, Python, and SQL. - Experience with AWS services, particularly S3, Glue, and Lambda. - Strong understanding of ETL/ELT processes and data warehousing concepts. - Familiarity with PostgreSQL and Redshift. - Excellent problem-solving skills and attention to detail. - Ability to work collaboratively in a fast-paced environment. If you are passionate about data engineering and have a proven track record of delivering high-quality data solutions, we would love to hear from you.