iLink Digital is a Global Software Solution Provider and Systems Integrator, delivers next-generation technology solutions to help clients solve complex business challenges, improve organizational effectiveness, increase business productivity, realize sustainable enterprise value and transform your business inside-out. iLink integrates software systems and develops custom applications, components, and frameworks on the latest platforms for IT departments, commercial accounts, application services providers (ASP) and independent software vendors (ISV). iLink solutions are used in a broad range of industries and functions, including healthcare, telecom, government, oil and gas, education, and life sciences. iLink expertise includes Cloud Computing & Application Modernization, Data Management & Analytics, Enterprise Mobility, Portal, collaboration & Social Employee Engagement, Embedded Systems and User Experience design etc.
What makes iLinks offerings unique is the fact that we use pre-created frameworks, designed to accelerate software development and implementation of business processes for our clients. iLink has over 60 frameworks (solution accelerators), both industry-specific and horizontal, that can be easily customized and enhanced to meet your current business challenges.
Requirements
Required Skills and Qualifications:
Bachelor or Master degree in Computer Science, Information Systems, Data Science, or a related field.
Proven 7+ experience in managing data and analytics projects.
Strong knowledge of data pipelines, ETL tools, and data modeling concepts.
Experience with BI tools such as Tableau, Power BI, or Looker.
Familiarity with data platforms such as Snowflake, Redshift, BigQuery, or similar.
Hands-on experience with SQL and data visualization principles.
Proficiency in project management methodologies, including Agile, Scrum, or Kanban.
Excellent communication, problem-solving, and organizational skills.
Preferred Qualifications:
PMP, PRINCE2, or Agile certifications.
Experience with cloud platforms like AWS, Azure, or GCP for data and analytics solutions.
Knowledge of predictive analytics, machine learning models, and statistical analysis.
Familiarity with tools like JIRA, Confluence, or similar project management platforms.