BIE I, AOP - RoW Central Data Engineer Team
Teknik, data och digitalt · Data, AI och analys · Data engineering
I korthet
The RoW Central Data Engineering team is seeking a Professional BIE Engineer to design, build, and maintain production-grade data systems. This role involves working with Redshift, Aurora RDS, and various AWS services to support business operations across emerging markets and requires strong technical depth and ownership.
Ansvarsområden
- Design and build robust batch, intraday, and near-real-time ETL/ELT data pipelines.
- Optimize and tune SQL and ETL workloads on Amazon Redshift, managing WLM queues, distribution/sort keys, and query performance.
- Manage the big data lifecycle, including data modeling, schema design, partitioning, retention policies, and data quality checks.
- Build automation and self-healing systems using AWS services like Lambda, ECS, and Step Functions.
- Use AWS services (Redshift, Aurora RDS, S3, Lambda, ECS Fargate, SQS, SNS, CDK/CloudFormation, Secrets Manager, EventBridge) to build scalable data infrastructure.
- Drive cost optimization initiatives for SQL workloads, cluster utilization, and pipeline design.
- Partner with stakeholders to understand data needs and deliver clean, documented data pipelines.
- Participate in on-call rotation, respond to production incidents, and implement permanent fixes.
Krav
- 2+ years of experience analyzing and interpreting data with Redshift, Oracle, or NoSQL.
- Experience with data visualization using Tableau, QuickSight, or similar tools.
- Experience with industry analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g., t-test, Chi-squared).
- Experience with a scripting language (e.g., Python, Java, or R).
Önskade kvalifikationer
- Master's degree or advanced technical degree.
- Knowledge of data modeling and data pipeline design.
- Experience with statistical analysis and correlation analysis.
Förmåner
- Opportunity to work on mission-critical systems serving 5,000+ daily users.
- End-to-end ownership of data solutions.
- Work alongside senior engineers and technical managers.
- Continuous learning and development in a high-impact team.
- Inclusive culture empowering employees to deliver best results.
- Workplace accommodations available for individuals with disabilities.
#Data Engineering#ETL#ELT#Redshift#Aurora RDS#Tableau#AWS#Python#SQL