Were looking for a Senior Data Engineer to join our Data team – someone whos passionate about building reliable, scalable data infrastructure and thrives on solving complex technical challenges.
In this role, youll own the design and development of end-to-end data pipelines that power analytics and data-driven decision-making.
Youll collaborate closely with both business and technical stakeholders to ensure data flows smoothly, accurately, and efficiently across the company.
What You Will Do:
Design, implement, and maintain large-scale ETL and ELT pipelines using modern data frameworks and cloud technologies.
Work with Redshift data warehouses to design efficient schemas and optimize performance.
Build and manage data ingestion processes from multiple sources – APIs, SaaS platforms, internal systems, and databases.
Collaborate with stakeholders to deliver clean, well-modeled, and high-quality data.
Build and evolve a modern, efficient, and scalable data warehouse architecture.
Ensure observability, monitoring, and testing across all data processes.
Apply best practices in CI/CD, version control (Git), and data quality validation.
In this role, youll own the design and development of end-to-end data pipelines that power analytics and data-driven decision-making.
Youll collaborate closely with both business and technical stakeholders to ensure data flows smoothly, accurately, and efficiently across the company.
What You Will Do:
Design, implement, and maintain large-scale ETL and ELT pipelines using modern data frameworks and cloud technologies.
Work with Redshift data warehouses to design efficient schemas and optimize performance.
Build and manage data ingestion processes from multiple sources – APIs, SaaS platforms, internal systems, and databases.
Collaborate with stakeholders to deliver clean, well-modeled, and high-quality data.
Build and evolve a modern, efficient, and scalable data warehouse architecture.
Ensure observability, monitoring, and testing across all data processes.
Apply best practices in CI/CD, version control (Git), and data quality validation.
Requirements:
5+ years of experience as a Data Engineer or ETL Developer, building large-scale data pipelines in a cloud environment (AWS, GCP, or Azure).
Strong SQL expertise, including query optimization and data modeling.
Hands-on experience with ETL/ELT tools such as Matillion, Rivery, SSIS, Talend, or similar.
Solid understanding of data warehouse concepts and dimensional modeling.
Excellent analytical and problem-solving skills.
A collaborative mindset and the ability to work cross-functionally with internal teams.
A self-starter and agile learner who thrives in a fast-paced, dynamic environment.
AI/Data-related development capabilities experience building or integrating AI-driven data solutions is a plus.
Nice to Have:
Experience with Redshift and Matillion – big advantage.
Experience with BI tools such as Qlik or Power BI – big advantage.
Familiarity with CI/CD pipelines.
5+ years of experience as a Data Engineer or ETL Developer, building large-scale data pipelines in a cloud environment (AWS, GCP, or Azure).
Strong SQL expertise, including query optimization and data modeling.
Hands-on experience with ETL/ELT tools such as Matillion, Rivery, SSIS, Talend, or similar.
Solid understanding of data warehouse concepts and dimensional modeling.
Excellent analytical and problem-solving skills.
A collaborative mindset and the ability to work cross-functionally with internal teams.
A self-starter and agile learner who thrives in a fast-paced, dynamic environment.
AI/Data-related development capabilities experience building or integrating AI-driven data solutions is a plus.
Nice to Have:
Experience with Redshift and Matillion – big advantage.
Experience with BI tools such as Qlik or Power BI – big advantage.
Familiarity with CI/CD pipelines.
This position is open to all candidates.
