AWS QuickSight Developer at

About the job

IMMEDIATE JOINERS ARE PREFERED OR Max. 20 DAYA NOTICE PERIOD
 

DATAECONOMY is one of the fastest-growing Data & Analytics company with global presence. We are well-differentiated and are known for our Thought leadership, out-of-the-box products, cutting-edge solutions, accelerators, innovative use cases, and cost-effective service offerings. 

We offer products and solutions in Cloud, Data Engineering, Data Governance, AI/ML, DevOps and Blockchain to large corporates across the globe. Strategic Partners with AWS, Collibra, cloudera, neo4j, DataRobot, Global IDs, tableau, MuleSoft and Talend.

Role: AWS QuickSight Developer

Qualification: BTech/MTech/MCA

Job Location: Hyderabad/Pune

Experience: 4 – 7 Years

Work Mode: Hybrid

Job Description:

We are seeking a skilled AWS QuickSight Developer to join our team. As an AWS QuickSight Developer, you will be responsible for designing, developing, and implementing business intelligence solutions using Amazon QuickSight. The ideal candidate should have strong experience in data visualization, dashboard creation, and AWS services.

Responsibilities:

• Design, develop, and implement business intelligence solutions using Amazon QuickSight.
• Create interactive dashboards and visualizations to present data insights effectively.
• Collaborate with stakeholders to gather requirements and define data visualization needs.
• Optimize performance and ensure scalability of QuickSight dashboards.
• Integrate QuickSight with other AWS services and data sources.
• Develop and maintain data pipelines for data ingestion and transformation.
• Stay up-to-date with the latest features and best practices in AWS QuickSight.
   

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience as a BI Developer or Data Analyst with expertise in AWS QuickSight.
• Strong proficiency in data visualization and dashboard creation.
• Experience working with AWS services such as S3, Redshift, Glue, and Athena.
• Knowledge of SQL and data modeling concepts.
• Excellent problem-solving and communication skills.
• Ability to work independently and in a team environment.