Back
Metro-based, popular Data Engineer role with broad AWS/Azure and BI skillset increases candidate competition.
Core data engineering skills are highly transferable across industries despite preferred automotive domain.
Explicit 6–10 years plus extensive mandatory AWS/Azure, ETL, and BI tech requirements increase filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and maintain scalable ETL pipelines and data integration processes across Azure and AWS cloud platforms.
Develop and maintain enterprise BI reporting solutions and dashboards using AWS QuickSight and Azure BI tools, implementing secure access controls.
Collaborate with stakeholders to translate business needs into cloud-optimized data warehouse solutions and ensure quality through system testing across cloud environments.
6-10 years of experience in data engineering and reporting.
Bachelor’s degree in Information Technology, Computer Science, or a related field.
Proven experience with database scripts, stored procedures, AWS and Azure cloud services including Azure Data Factory, AWS Glue, and BI tools like Power BI or Tableau.
Strong skills in SQL, cloud data services (Azure and AWS), and report/dashboard development.
Experienced in managing complex, multi-cloud (AWS and Azure) data engineering projects with a focus on scalable and secure pipelines.
Skilled in enterprise BI solution development that supports business decision-making through data visualization and reporting.
Familiarity with automotive domain and/or certifications in AWS or Azure services is a strong plus, indicating readiness for specialized industry contexts.