About the job

Excellent opportunity Data Engineers for to be part of Cognizant’s Intelligent Process Automation practice, It combines advisory services with deep vendor partnerships and integrated solutions to create and execute strategic roadmaps.

Key Responsibilities:

• Gather business requirements, perform detailed analysis, and produce associated functional specifications across multiple functions
• Architect, design, cost and plan solutions that will support delivery teams as those solutions are implemented into live services.
• Writing SQL or Python/ R scripts to analyse data
• Develop Subject Matter Expertise on the key data elements
• Responsible for liaising between business users and technologists to exchange information in a concise, logical and understandable way in co-ordination with the Technology team.
• Ensuring proper development life cycle is followed with artefacts to support Internal Audit and any inquiries
• Consult with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards and recommends solutions
• Support systems change processes from requirements through implementation and provide input based on analysis of information
• Consult with business clients to determine system functional specifications and provides user and operational support
• Identify and communicate risks and impacts, considering business implications of the application of technology to the current business environment
• Has the ability to operate with a limited level of direct supervision
• Demonstrated ability to work under pressure to meet tight deadlines and approach work methodically with attention to detail
• Work with Data Governance and Quality teams to understand data issues
• Work with various technology leads to ensure the gaps in the data completeness or accuracy are converted into prioritized Book of Work items
• Provide regular updates to senior management in technology, middle office & front office
• Training of relevant teams prior to go-live of new business processes/products, functionality or applications
• Go-live support, investigation of issues

Essential Experience

• Providing database engineering and data delivery to support during application development, working closely with application teams
• Data Engineering to ingest, cleanse and collate data from a wide range of internal and external sources
• Creation of reconciliations of data sets
• Building analytical models to support reporting and analytics
• Creation of reports and analytics
• Experience facilitating workshops and discussions to effectively gather requirements and understand the client’s business challenges
• Able to produce proposed implementation plans for data analysis work, including estimated effort and technical implications of data insight products
• Able to review and comment on data models– for example pointing out why models are defective and suggesting improvements.
• Clear written and verbal communications; able to communicate with a wide range of people.
• Strong leadership, analytical and communication skills with a passion for data-driven decision making and for establishing best practice
• Line management experience - able to give feedback and mentor more junior colleagues

Qualifications:

• Experience working with Azure, AWS or Google Cloud
• Experienced in IT architecture and software development lifecycles
• Experienced with structured and unstructured data
• Experience in combining qualitative and quantitative datasets
• Experienced in either programming languages such as Python and/or R, data visualization tools such as Tableau
• Experience working with large datasets
• Experience in creation of B/FRDs – Good documentation and communication with the technology team both to provide requirements and understanding of any issues is paramount
• Relevant experience in data-related topics - data warehousing, data governance, data quality, data profiling, master data management, ETL etc…
• Data modelling, from contextual through to logical and physical modelling skills
• Very strong Excel, SQL, Python, JIRA skills
• Excellent communication skills, structured and organized
• Excellent stakeholder and management reporting skills
• Experience with project planning and tracking, including agile software i.e. JIRA
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