Nex4 Inc

Togo

Job Description:We are seeking a highly skilled and experienced Data Engineer to help shape and scale our supply chain and operations analytics infrastructure. In this role, you will work closely with cross-functional teamsincluding Operations, Finance, and Analyticsto design, build, and monitor scalable, production-grade data pipelines. Your work will be critical to driving data-informed decisions across the business.---What Youll Do:- Develop and maintain automated ETL pipelines using Python, Snowflake SQL, and related technologies.- Ensure robust data quality through unit testing, validation, and continuous monitoring.- Collaborate with stakeholders to ingest and transform large healthcare datasets with accuracy and efficiency.- Leverage AWS services such as S3, DynamoDB, Batch, and Step Functions for data integration and deployment.- Optimize performance for pipelines processing large-scale datasets (1GB+).- Translate business requirements into reliable, scalable data solutions.---What You Bring:- 4+ years of hands-on experience as a Data Engineer or in a similar role.- Proven expertise in Python, SQL, and Snowflake for data engineering tasks.- Strong experience building and maintaining production-grade ETL pipelines.- Solid understanding of data validation, transformation, and debugging practices.- Prior experience with *healthcare or claims datasets* is highly preferred.- Practical knowledge of AWS technologies: S3, DynamoDB, Batch, Step Functions.- Experience working with large datasets and complex data environments.- Excellent verbal and written English communication skills.---Work Schedule:- Full-time remote* position (40 hours/week).- Working hours must align with U.S. Central Time Zone (CT).

Job Description:We are seeking a highly skilled and experienced *Data Engineer* to help shape and scale our supply chain and operations analytics infrastructure. In this role, you will work closely with cross-functional teamsincluding Operations, Finance, and Analyticsto design, build, and monitor scalable, production-grade data pipelines. Your work will be critical to driving data-informed decisions across the business.---What Youll Do:- Develop and maintain automated ETL pipelines using Python, Snowflake SQL, and related technologies.- Ensure robust data quality through unit testing, validation, and continuous monitoring.- Collaborate with stakeholders to ingest and transform large healthcare datasets with accuracy and efficiency.- Leverage AWS services such as S3, DynamoDB, Batch, and Step Functions for data integration and deployment.- Optimize performance for pipelines processing large-scale datasets (1GB+).- Translate business requirements into reliable, scalable data solutions.---What You Bring:- 4+ years of hands-on experience as a Data Engineer or in a similar role.- Proven expertise in Python, SQL, and Snowflake for data engineering tasks.- Strong experience building and maintaining production-grade ETL pipelines.- Solid understanding of data validation, transformation, and debugging practices.- Prior experience with *healthcare or claims datasets* is highly preferred.- Practical knowledge of AWS technologies: S3, DynamoDB, Batch, Step Functions.- Experience working with large datasets and complex data environments.- Excellent verbal and written English communication skills.---Work Schedule:- Full-time remote* position (40 hours/week).- Working hours must align with U.S. Central Time Zone (CT).