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Mid-level generalist Data Engineer role with broad skills, increasing qualified applicant density.
Data engineering skillset is highly transferable across industries.
Explicit 5–8 year requirement and domain experience make shortlisting moderately strict.
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Design, deliver, and maintain data solutions supporting analytical development to address key organizational issues.
Collaborate with cross-functional teams including Tableau developers, analysts, and business users to gather data requirements and deliver high-quality results.
Support and develop modern data architecture approaches, contribute to data ingestion and processing frameworks, and extend DevOps capabilities for data solution deployment.
Bachelor's degree or higher in Computer Science, Statistics, Business, IT, or related field.
5 to 8 years of experience in data engineering or closely related technical role; recent graduates with strong project work considered.
Foundational SQL proficiency; beginner to intermediate Python programming skills.
Beginner exposure to cloud platforms (Azure, AWS, or GCP) with willingness to develop further; familiarity with Agile methodologies.
Experienced in working within cross-functional teams and comfortable collaborating with technical and business stakeholders.
Willingness and aptitude to grow cloud, DevOps, and CI/CD skills on the job.
Able to manage own tasks and deadlines with strong communication skills and a focus on data quality and process acumen.