Infosys

Celonis Developer

Job Description

Responsibilities: BS/BSc in Computer Science, Software Engineering, or related field, Masters preferred • 3+ years’ experience in a software development, data engineering, and/or data visualization role • 3-4 years of experience with Object-Centric Process Mining, Data Model development, App development, Automation in Celonis • Experience writing code in at least one OOP language (preferred language is Python) • Experience working with large and small data sets from multiple sources and formats • Experience developing complex visualizations within Celonis or similar environment • Understanding of relational and non-relational databases • Ability to derive insights using variable and categorical datasets • Able to translate technical concepts for non-technical audiences in both written and oral forms • Results oriented mindset, operate with high sense of urgency, and strong interest in learning Educational Requirements Bachelor of Engineering Additional Responsibities: • Knowledge of more than one technology • Basics of Architecture and Design fundamentals • Knowledge of Testing tools • Knowledge of agile methodologies • Understanding of Project life cycle activities on development and maintenance projects • Understanding of one or more Estimation methodologies, Knowledge of Quality processes • Basics of business domain to understand the business requirements • Analytical abilities, Strong Technical Skills, Good communication skills • Good understanding of the technology and domain • Ability to demonstrate a sound understanding of software quality assurance principles, SOLID design principles and modelling methods • Awareness of latest technologies and trends • Excellent problem solving, analytical and debugging skills Technical and Professional Requirements: Work collaboratively within a multi-disciplinary team and with functional leaders across multiple domains to develop a good understanding of current processes and systems used • Develop Celonis visualizations, data models, apps, and reports that enable data-driven decision making and actions to be taken • Build data processing pipelines that enable data extraction and transformation from a variety of source systems (with SAP ECC tables being a key data source) • Monitor, maintain, and optimize data processes focusing on data reliability and quality • Derive insights through data, provide context for findings, highlight confounding variables, and provide awareness into exceptions.


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