Data Engineer

About This Role

Develop and operationalize data pipelines to ensure data availability for reports and advanced analytics, covering ingestion, transformation, validation, optimization, and orchestration. Engage with DevSecOps Engineers during continuous integration and deployment.

Responsibilities

• Design and implement standardized data management procedures for staging, ingestion, preparation, provisioning, and destruction.
• Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics.
• Design, develop, and maintain real-time processing applications and real-time data pipelines.
• Ensure quality of technical solutions as data moves across environments.
• Provide insight into changing data environments, processing, storage, and utilization requirements, offering solutions.
• Develops, constructs, tests, and maintains architectures using programming language and tools.
• Identify ways to improve data reliability, efficiency, and quality; use data to discover tasks that can be automated.

Qualifications

• Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science)
• 2-4 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill.

Nice to Have

• SQL
• Python
• Teradata
• Snowflake

Skills

* Required skills

Benefits