Verified Job
Work from home
Senior Data Engineer (Snowflake, AWS, Python, DBT)
Work from home
#57636
Remote / WFH
Technology Next
Job Description
Job description
Senior Data Engineer (Snowflake, AWS, Python, DBT)
Job Title: Senior Data Engineer
Employment Type: Contract (6 Months)
Work Mode: Remote
Working Hours: 2:00 PM – 10:00 PM IST (Monday – Friday)
About the Role
We are seeking an experienced Senior Data Engineer to join our growing data engineering team and help build scalable, cloud-native data solutions. In this role, you will be responsible for designing, developing, and optimizing modern data platforms that power business intelligence, analytics, and data-driven decision-making.
You will play a key role in architecting robust ETL pipelines, driving Snowflake migration initiatives, and leveraging AWS services to build highly scalable and secure data ecosystems. This is an excellent opportunity for professionals passionate about solving complex data challenges and making a significant impact through modern data engineering practices.
Key Responsibilities
• Design, develop, and maintain scalable ETL and data pipelines using Python and modern data engineering frameworks.
• Build and optimize data processing workflows for high-volume clickstream, demographic, and business datasets.
• Implement best practices for data pipeline development, code quality, testing, and performance optimization.
• Configure, deploy, and manage AWS infrastructure including S3, Lambda, EC2, RDS, EMR, and related services.
• Support data ingestion, storage, transformation, and retrieval workflows across cloud platforms.
• Lead large-scale data migration projects to Snowflake while ensuring data integrity, security, and minimal business disruption.
Senior Data Engineer (Snowflake, AWS, Python, DBT)
Job Title: Senior Data Engineer
Employment Type: Contract (6 Months)
Work Mode: Remote
Working Hours: 2:00 PM – 10:00 PM IST (Monday – Friday)
About the Role
We are seeking an experienced Senior Data Engineer to join our growing data engineering team and help build scalable, cloud-native data solutions. In this role, you will be responsible for designing, developing, and optimizing modern data platforms that power business intelligence, analytics, and data-driven decision-making.
You will play a key role in architecting robust ETL pipelines, driving Snowflake migration initiatives, and leveraging AWS services to build highly scalable and secure data ecosystems. This is an excellent opportunity for professionals passionate about solving complex data challenges and making a significant impact through modern data engineering practices.
Key Responsibilities
• Design, develop, and maintain scalable ETL and data pipelines using Python and modern data engineering frameworks.
• Build and optimize data processing workflows for high-volume clickstream, demographic, and business datasets.
• Implement best practices for data pipeline development, code quality, testing, and performance optimization.
• Configure, deploy, and manage AWS infrastructure including S3, Lambda, EC2, RDS, EMR, and related services.
• Support data ingestion, storage, transformation, and retrieval workflows across cloud platforms.
• Lead large-scale data migration projects to Snowflake while ensuring data integrity, security, and minimal business disruption.
