Were looking for a Senior Data Engineer with deep experience in AWS Redshift and PostgreSQL to design high-performance data systems at scale. This is a senior hands-on role for an engineer who can write efficient code move fast with discipline and apply judgment grounded in both technical experience and business context.
Youll lead the architecture and delivery of data pipelines model-ready datasets and distributed processing frameworks. Youll use AI responsibly to accelerate development while maintaining quality and reliability. As a senior member of the team youll set standards for engineering excellence mentor junior engineers and help shape how we use data and AI to create outcomes.
Responsibilities:
- Design and own full-lifecycle data pipelines from ingestion through transformation and delivery using custom AWS-based ETL in Redshift (PostgreSQL) and Python.
- Develop distributed data processing that can scale across large datasets.
- Improve production SQL for performance scalability and data accuracy.
- Automate workflows using orchestration platforms such as Airflow and Control-M.
- Design scalable data models to capture sequential time-dependent and event-driven customer journey data.
- Apply version control best practices using Git including branching code reviews CI/CD integration and deployment standards.
- Use AI and machine-assisted development responsibly to enhance productivity and quality without compromising maintainability.
- Collaborate to translate our needs into automated data solutions that provide measurable impact.
- Evaluate and integrate AWS data services and tools to improve performance and cost-effectiveness.
- Guide junior engineers demonstrating sound engineering habits and high-quality work.
Qualifications :
- 5 years developing and optimizing complex SQL (Redshift or PostgreSQL).
- 2 years of professional Python development for ETL automation or data engineering.
- Direct experience with distributed and parallelized data processing frameworks and big data scalability.
- Understanding of the AWS ecosystem including S3 Glue Lambda EC2 and SageMaker.
- Command of Git best practices: branching strategy peer review CI/CD integration and release management.
- Experience producing efficient maintainable and reliable production code.
Additional Information :
Our benefits include: Medical life and dental insurance Asociacion Solidarista International Share Save Plan Flex Work/Work from home Paid time off Annual Performance Bonus Education Reimbursement Family Bonding Bereavement Leave Referral Program and more.
- This is a fully remote job opportunity. #LI-Remote
- Our uniqueness is that we celebrate yours. Experians culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI work/life balance development authenticity engagement collaboration wellness reward & recognition volunteering... the list goes on. Experians people first approach is award-winning; Great Place To Work in 24 countries FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experians DNA and practices and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work irrespective of their gender ethnicity religion colour sexuality physical ability or age. If you have a disability or special need that requires accommodation please let us know at the earliest opportunity.
Remote Work :
No
Employment Type :
Full-time
Were looking for a Senior Data Engineer with deep experience in AWS Redshift and PostgreSQL to design high-performance data systems at scale. This is a senior hands-on role for an engineer who can write efficient code move fast with discipline and apply judgment grounded in both technical experienc...
Were looking for a Senior Data Engineer with deep experience in AWS Redshift and PostgreSQL to design high-performance data systems at scale. This is a senior hands-on role for an engineer who can write efficient code move fast with discipline and apply judgment grounded in both technical experience and business context.
Youll lead the architecture and delivery of data pipelines model-ready datasets and distributed processing frameworks. Youll use AI responsibly to accelerate development while maintaining quality and reliability. As a senior member of the team youll set standards for engineering excellence mentor junior engineers and help shape how we use data and AI to create outcomes.
Responsibilities:
- Design and own full-lifecycle data pipelines from ingestion through transformation and delivery using custom AWS-based ETL in Redshift (PostgreSQL) and Python.
- Develop distributed data processing that can scale across large datasets.
- Improve production SQL for performance scalability and data accuracy.
- Automate workflows using orchestration platforms such as Airflow and Control-M.
- Design scalable data models to capture sequential time-dependent and event-driven customer journey data.
- Apply version control best practices using Git including branching code reviews CI/CD integration and deployment standards.
- Use AI and machine-assisted development responsibly to enhance productivity and quality without compromising maintainability.
- Collaborate to translate our needs into automated data solutions that provide measurable impact.
- Evaluate and integrate AWS data services and tools to improve performance and cost-effectiveness.
- Guide junior engineers demonstrating sound engineering habits and high-quality work.
Qualifications :
- 5 years developing and optimizing complex SQL (Redshift or PostgreSQL).
- 2 years of professional Python development for ETL automation or data engineering.
- Direct experience with distributed and parallelized data processing frameworks and big data scalability.
- Understanding of the AWS ecosystem including S3 Glue Lambda EC2 and SageMaker.
- Command of Git best practices: branching strategy peer review CI/CD integration and release management.
- Experience producing efficient maintainable and reliable production code.
Additional Information :
Our benefits include: Medical life and dental insurance Asociacion Solidarista International Share Save Plan Flex Work/Work from home Paid time off Annual Performance Bonus Education Reimbursement Family Bonding Bereavement Leave Referral Program and more.
- This is a fully remote job opportunity. #LI-Remote
- Our uniqueness is that we celebrate yours. Experians culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI work/life balance development authenticity engagement collaboration wellness reward & recognition volunteering... the list goes on. Experians people first approach is award-winning; Great Place To Work in 24 countries FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experians DNA and practices and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work irrespective of their gender ethnicity religion colour sexuality physical ability or age. If you have a disability or special need that requires accommodation please let us know at the earliest opportunity.
Remote Work :
No
Employment Type :
Full-time
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