Data Engineer II
Our mission is to eliminate operational bottlenecks through automation and AI, creating the technical foundation that enables breakthrough sustainability innovations essential for net zero.
Responsibilities :
- Working with business-critical sustainability data pipelines.
- Migrating production ETL jobs from legacy data platforms to modern infrastructure.
- Setting up workflow orchestration platforms in new accounts.
- Translating existing data workflows into scalable pipelines.
- Implementing robust validation to ensure data consistency and quality throughout the migration.
- Working across multiple critical data domains including sales data, active device telemetry, transportation carbon emissions, energy consumption metrics, sustainability badging workflows, and executive reporting dashboards.
- Partnering with Science team members and program teams who depend on these pipelines for daily operations.
- Coordinating with upstream data owners to secure access permissions, collaborating with platform teams to troubleshoot integration issues, and communicating migration progress and risks to stakeholders across the organization.
- Responsible for comprehensive documentation of the new architecture, including data lineage, dependencies, monitoring strategies, and operational runbooks.
- Implementing data quality checks and alerting to proactively identify issues before they impact downstream consumers.
Required Skills & Experience :
3-6 years building and maintaining production data pipelines in complex enterprise environments.Strong SQL skills for writing complex transformations, optimizing query performance, and troubleshooting data quality issues across large datasets.Hands-on experience with AWS data services including Redshift, S3, Glue, and IAM for data access management.Deep understanding of ETL best practices including data validation, error handling, idempotency, and lineage tracking.Experience with Python or Spark for implementing data transformation logic.Strong analytical skills and ability to work with large, complex datasets spanning multiple source systems.Excellent communication and stakeholder management skills, with ability to coordinate across multiple technical teams and translate technical concepts for non-technical audiences.Ability to partner directly with technical stakeholders to understand requirements and deliver solutions that meet operational needs.Proven track record managing data migrations or large-scale infrastructure transitions with minimal business disruption.Preferred Qualifications :
Experience with workflow orchestration platforms.QuickSight experience for dashboard development.