Mid-Level Data Engineer (3-7 Years)
Job Summary
We are seeking a Data Engineer to develop and maintain data pipelines, analytical datasets, and enterprise reporting models that support analytics, AI initiatives, manufacturing operations, connected vehicle platforms, and executive decision-making. You will work closely with Analytics and AI teams to deliver high-quality data products that support Tableau dashboards and business intelligence solutions.
Key Responsibilities
- Develop and maintain ETL/ELT pipelines using Spark, Airflow, Kafka, MQTT, and cloud-native technologies.
- Build and optimize Redshift data models, analytical datasets, and reporting structures.
- Create and maintain Tableau-consumable datasets and certified reporting layers.
- Integrate manufacturing, charging, IoT, ERP, CRM, and operational data sources.
- Support data quality, validation, reconciliation, and monitoring processes.
- Develop business-focused dimensional models and analytical data marts.
- Collaborate with Analytics Engineers and business stakeholders to improve reporting accuracy and performance.
- Support Tableau data source development and reporting initiatives.
- Optimize Redshift query performance and data processing efficiency.
- Participate in GitLab-based development, testing, deployment, and code review activities.
Functional Knowledge
- Understanding of manufacturing operations, production analytics, quality reporting, and operational performance measurement.
- Familiarity with connected vehicle platforms, telemetry data, EV charging analytics, battery performance metrics, and customer usage reporting.
- Knowledge of enterprise reporting requirements across Finance, Supply Chain, Procurement, Sales, Service, Marketing, and HR.
- Understanding of data warehousing principles, dimensional modeling, analytical data marts, and reporting architectures.
- Experience supporting Tableau dashboards and self-service business intelligence solutions.
- Familiarity with KPI development, business metrics, scorecards, and analytical reporting standards.
- Understanding of data quality, reconciliation processes, governance requirements, and enterprise reporting controls.
- Ability to collaborate with business users and translate reporting requirements into scalable data solutions.
Qualifications
- Bachelor's degree in Computer Science, Engineering, Analytics, or related field.
- 3-7 years of experience in Data Engineering.
- Strong SQL and Python programming skills.
- Experience with Redshift, Spark, Airflow, Kafka, MQTT, and cloud-based data architectures.
- Experience supporting Tableau reporting environments and business intelligence solutions.
- Understanding of dimensional modeling, data warehousing, and enterprise reporting architectures.
- Manufacturing, Automotive, EV, or IoT experience preferred.