Mid Level Data Visualization Engineer - Quicksight
About the UNIT/ Unit Overview
IT Strategy, Governance & Security
Location
Chennai
Experience:
6-8 yrs
Number of openings
1
What awaits you/ Job Profile
- Design and develop data visualizations using Amazon QuickSight to present complex data in clear and understandable Dashboards.
- Create interactive dashboards and reports that allow end-users to explore data and draw meaningful conclusions.
- Work on Data preparation and ensure the good quality data is used in Visualization.
- Collaborate with data analysts and business stakeholders to understand data requirements, gather insights, and transform raw data into actionable visualizations.
- Ensure that the data visualizations are user-friendly, intuitive, and aesthetically pleasing. Optimize the user experience by incorporating best practices.
- Identify and address performance bottlenecks in data queries and visualization.
- Ensure compliance with data security policies and governance guidelines when handling sensitive data within QuickSight.
- Provide training and support to end-users and stakeholders on how to interact with Dashboards.
- Self-Managing and explore the latest technical development and incorporate in the project.
- Experience in analytics, reporting and business intelligence tools.
- Using the Agile Methodology, attending daily standups and use of the Agile tools.
- Lead Technical discussions with customers to find the best possible solutions.
What should you bring along
Must Have
- Overall experience of 6-8 years in Data visualization development.
- Minimum of 2 year in QuickSight and 5 years in other BI Tools like PowerBI, QLik
- Valuable In writing complex SQL Scripting, Dataset Modeling.
- Hands on in AWS -Athena, RDS, S3, IAM, permissions, Logging and monitoring Services.
- Experience working with various data sources and databases like Oracle, mySQL, S3, Athena.
- Ability to work with large datasets and design efficient data models for visualization.
- Prior experience in working in Agile, Scrum/Kanban working model.
Nice to Have
- Knowledge on Data ingestion and Data pipeline in AWS.
- Knowledge Amazon Q or AWS LLM Service to enable AI integration
Must have technical skill
Quick sight, SQL , AWS
Good to have Technical skills
AWS Quicksight, Data Engineer , AWS LLM
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