Experience in Data Engineering, Data Preparation, Data Blending and Data Modelling.
Able to complete intermediate-level data engineering tasks, basic modelling tasks and executive communication tasks
Able to independently develop insights using Visualization Tools and communicate insights in visualization dashboards
Able to design software architecture pertaining to data engineering tools following best-practices after understanding customer requirements and enterprise environments
Visualizing reporting solutions and plugins to investigate and deliver new solutions to the needs of the team/Customer.
Strong ability in understanding client business problem and ability to effectively communicate the story/insights in the form of highly effective visualization dashboards
Identification of optimal performance improvement opportunities in existing landscapes.
Work with teams to identify and assist in all aspects of data extraction, analysis and reporting.
Maintaining a growing library of dashboards, reports, and interactive data visualizations using a variety of visualization tools and techniques.
Essential skills required
Education / professional qualifications
PG / Graduate in Engineering / MCA
Prior Experience: 3 to 6 years of relevant experience
Primary Skillset (Data Visualization): Tableau, Qlikview/sense, Power Bi, (Combination of minimum 2 tools)
Primary Skillset (ETL/Data Modelling): Alteryx, SQL
Good To Have: Programming knowledge in Python and HTML, CSS and D3.
Strong Data Analytics background in creating ETL workflows and Data Visualization
Strong SQL Knowledge and Data Modelling Concepts
Strong Data Visualization skills with end to end implementation.
Extensive (3 to 6 years) experience in building data visualization solutions
Hands on experience with any of the data visualization platforms: Qlikview / QlikSense / Tableau / Power Bi / Microstrategy
Hands on Experience with Alteryx in creating complex workflows and creating Macros.
Good to have- experience in Python
Good Data Analysis Skills in identifying different trends, patterns and other data issues within datasets.
Knowledge in Integrating dashboards with Web Interface ( Mashup Methodologies )
Comfortable in working with large, multi-dimensional data sets ( data )
Comfortable in working with large, multi-dimensional data sets ( data manipulation and analysis )
Good understanding of concepts and how to include them in visualizations
Working experience at least on one full life cycle production deployment of Data Engineering solution
Excellent analytical aptitude and problem solving skills
Behavioral / team skills
Should be a Self-starter
Should have excellent communication skills both written and oral.
Should be a quick learner
Should have worked in an Agile methodology is a plus, but not mandatory
Very good team player
Very Good Positive Attitude in taking up initiatives and handling conflicts
Very good written and verbal communication skills
Good communication skills and client oriented attitude
Organized and detail oriented person.