DataOps Engineer

Location : USA

Experience : 7-10 Years

Job Description

• Design and development of data engineering assets and scalable engineering frameworks to support various business units’ data demands and internal data analytics activities
• Evaluate data importance and manage production of data pipelines
• Code, test, and document new or modified data models and ETL/ELT tools to create robust and scalable data assets for reporting and analytics
• Expand and increase data platform capabilities to resolve new data problems and challenges by identifying, sourcing, and integrating new data
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, redesigning infrastructure for greater scalability, etc.
• Peer review code and promote dev ops culture within data team
• Implement solutions that adhere to architecture best practices
• Define and build the data pipelines that will enable faster, better, data-informed decision-making within the business
• Proactively identify rationalisation opportunities and implement changes to the reporting suite to increase customer usage and reduce wasted effort
• Work on cross-functional solutions focussing on business and process improvement
• Cataloguing data dictionary and ability to maintain it ongoing.
• Migration of solutions from legacy systems to cloud data platform.

Required Skills

• An experienced Data Ops Engineer with demonstrated knowledge and experience within data delivery, ETL/ELT, data management, solution design and delivery
• Strong communication skills, analytical mindset, excellent documentation skills and demonstrable experience in working with a variety of business stakeholders

How to Apply

Please send your updated resume at [email protected] detailing your past experiences.