Department: Data & Analytics / Business Intelligence
About the Role
We are seeking a
highly skilled Visualization Developer
to join our dynamic Data & Analytics team. The ideal candidate will have hands-on expertise in
Power BI, AWS, and SQL
, with a strong understanding of
Agile and Scrum
methodologies. This role involves transforming complex datasets into intuitive, insightful, and interactive dashboards that empower business users to make data-driven decisions.
You will collaborate with cross-functional teams including business analysts, data engineers, and stakeholders to design, develop, and maintain modern visualization solutions using
Power BI
and
AWS data services
.
Key Responsibilities
Dashboard Development:
Design, build, and deploy advanced Power BI dashboards, reports, and visualizations that provide actionable insights.
Data Integration & Modeling:
Connect multiple data sources, model datasets, and build efficient data pipelines using
SQL
and
AWS services
.
Cloud-based Solutions:
Utilize
AWS services
such as
Redshift, S3, RDS, Lambda, and Glue
for data processing, transformation, and visualization deployment.
ETL & Data Management:
Implement ETL processes to extract, transform, and load data efficiently for reporting and analysis.
Performance Optimization:
Tune Power BI dashboards and SQL queries for performance, scalability, and reliability.
Collaboration:
Work closely with business stakeholders and technical teams to understand requirements and deliver data visualization solutions that meet evolving business needs.
Agile & Scrum Delivery:
Participate in sprint planning, stand-ups, retrospectives, and reviews while contributing to iterative development cycles.
Documentation & Training:
Maintain technical documentation and provide training or walkthroughs to end-users.
Quality Assurance:
Validate data accuracy, test reports, and ensure dashboards adhere to data governance and compliance standards.
Continuous Improvement:
Stay updated with the latest Power BI features, AWS innovations, and visualization best practices, proposing enhancements proactively.
Required Skills & Qualifications
Proficiency in Power BI:
Strong experience in Power BI dashboard development, data modeling, DAX queries, Power Query, and publishing reports via Power BI Service.
Strong SQL Expertise:
Advanced SQL skills for data extraction, transformation, and modeling; experience with relational databases.
AWS Cloud Experience:
Hands-on experience with AWS data services such as
Redshift, S3, RDS, Lambda, and Glue
for scalable data management and integration.
Agile & Scrum:
Proven experience working within Agile frameworks, collaborating effectively in Scrum teams.
Data Modeling & ETL:
Experience designing logical and physical data models and building efficient ETL processes.
Analytical Thinking:
Ability to interpret business needs, translate them into technical solutions, and deliver actionable insights.
Communication Skills:
Excellent written and verbal communication with the ability to present complex information to non-technical audiences.
Attention to Detail:
Strong commitment to data accuracy, consistency, and documentation.
Preferred Qualifications
Bachelor's or Master's degree in
Computer Science, Information Systems, Data Science
, or related field.
Professional certifications in
Power BI, AWS, or Agile/Scrum
.
Experience with other visualization tools such as
Tableau, QlikView, or Looker
.
Familiarity with
Python
or
R
for advanced analytics or data integration.
Experience working with
APIs
for data sourcing and integration.
Exposure to
CI/CD pipelines
for data or BI solution deployment.
Understanding of
data governance, privacy regulations, and compliance frameworks
.
Why Join Us
Opportunity to work on
cutting-edge visualization and cloud technologies
.
Collaborate with a
global data and analytics team
driving digital transformation.
Be part of an
Agile, innovative, and collaborative
environment that values creativity and continuous learning.
Competitive compensation and benefits package.
Job Type: Full-time
Pay: ₹456,684.38 - ₹1,824,444.35 per year
Work Location: In person
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