Key Duties & Responsibilities

This role will require to work independently or in team to solve data problems with unstructured data
Collaborate with other team members and other disciplines to deliver project requirements
Work independently to complete allocated activities to meet timeframe and quality objectives and meeting or exceeding client expectations
Develop effective materials for clients, making sure that their messages are clearly conveyed through the appropriate channel, using the language that is suitable for the intended audience and readers, and would induce the desired response
Actively contribute to ArcadisGlobal Communities of Practice relevant to Project Management, Data Visualization, and Power Platform, through knowledge shares and case study presentations
Actively contribute to the Digital Advisory community of practice, through development of integrated solutions that embed GEC capabilities into core advisory business
Data Engineering, Management, and Visualization
Experience in manipulating, transforming, and analyzing data sets that are raw, large, and complex
Demonstrates ability to plan, gather, analyze, and document user and business information
Incorporates, integrates, and interfaces technical knowledge with business / systems requirements
Understanding of all aspects of an implementation project including, but not limited to planning, analysis and design, configuration, development, conversions, system testing, cutover and production support
Produce written deliverables for requirement specifications and support documentation: process mapping, meeting minutes, glossaries, data dictionary, technical design, system testing and implementation activities
Collect and organize data, data warehouse reports, spreadsheets, and databases for analytical reporting
Strong on database concepts, data modelling, stored procedures, complex query writing, performance optimization of SQL queries
Experience in creating automated data extraction pipeline from various sources like API, Databases in various formats
A problem solving, solution driven mindset with the ability to innovate within the constraints of a project time/cost/quality

Qualifications and Experience:

BS/MS or BCA/MCA or bachelors/masters degree in Math, Statistics, Computer Science, Engineering, or another technical field
Experience required: 5+ years
Experience in Data engineering with PythonR
Experience in SQL, MS-SQL Server, or other relational databases
Azure Cloud Service experienceAWSGoogle Could Service (Optional)
API automated Data extraction pipeline
Experience in developing and maintaining integrated visualization reports in PowerBI (Optional)
Experience with software deployment project lifecycle phases requirements gathering, planning, testing, delivery, enhancements, support
Experience in Project Management (Preferred)
Exceptional communication skills and fluency in English (professional level)

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