Senior Analyst, Data Engineering
Dell Technologies Karnataka, India
Computer Hardware Manufacturing · 10,001+ employees
About the role
Develops technical tools and programming to cleanse, organize, and transform data while maintaining data integrity. Partners with internal and external stakeholders to design and deploy technology architecture and data solutions.
What they look for
Requirements
Requires experience in designing and managing structured and unstructured data systems to generate actionable insights. Candidates should be proficient in data extraction, transformation, and loading techniques as well as data governance.
Full description
SUMMARY
Interacts with business leaders and internal customers to create and establish design standards and assurance processes for software, systems and applications development to ensure compatibility and operability. Analyzes business goals, defines project scope and identifies functional and technical requirements to produce accurate business insights. Develops fundamentally new approaches to generate meaning from data, creating specifications for reports and analysis based on business needs. Job disciplines may include data analysis and science, data architecture and solutions engineering, visual design and analytics enablement and internal consulting.
ACCOUNTABILITIES
- Develops technical tools and programming to cleanse, organize and transform data and to maintain, protect and update data structures and integrity on an automated basis
- Applies data extraction, transformation and loading techniques to tie together large data sets from a variety of sources
- Partners with both internal & external sources to design, build and oversee the deployment and operation of technology architecture, solutions and software
- Designs, develops and programs methods, processes and systems to capture, manage, store and utilize structured and unstructured data to generate actionable insights and solutions
- Responsible for the maintenance, optimization, improvement, cleaning and manipulation of data in the business’s operational and analytics databases
- Works in collaboration with data engineers, data scientists, architects and business to design actionable strategic projects and break complex problems into actionable tasks
- Develops new environments, methodologies, processes, tools and data governance structures to enable effective analysis and advanced modeling and statistical analysis against data sets