Sr.Data Engineer

Cognizant

Greater London, UK

4 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

www.collegerecruiter.com

Tech stack

Microsoft Excel Agile Methodology Amazon Web Services Data Analysis JIRA Microsoft Azure Big Data Information Engineering Data Governance Extract Transform Load (ETL) Data Profiling Data Visualization

+13 more

Data Warehousing Decision Support Systems Python (Programming Language) Live Connect (Windows) Software Engineering SQL Databases Tableau (Software) Unstructured Data Google Cloud IT Architecture Data Management Data Delivery Programming Languages

Job description

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
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

Requirements

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