Responsibilities:

Architect and implement enterprise-level BI solutions to support strategic decision-making along with data democratization by enabling self-service analytics for non-technical users

Lead data governance and data quality initiatives to ensure consistency and design data pipelines and automated reporting solutions using SQL and Python

Optimize big data queries and analytics workloads for cost efficiency and Implement real-time analytics dashboards and interactive reports

Mentor junior analysts and establish best practices for data visualization

Required Skills:

Advanced SQL, Python (Pandas, NumPy), and BI tools (Tableau, Power BI, Looker)

Expertise in AWS (Athena, Redshift), GCP (Big Query), or Snowflake

Experience with data governance, lineage tracking, and big data tools (Spark,



Kafka)

Exposure to machine learning and AI-powered analytics

Nice to Have:

Experience with graph analytics, geospatial data, and visualization libraries (D3

js, Plotly)

Hands-on experience with BI automation and AI-driven analytics

Who can be a part of the community?

We are looking for top-tier Data Visualization Engineers with expertise in analyzing and visualizing complex datasets

Proficiency in SQL, Tableau, Power BI, and Python (Pandas, NumPy, Matplotlib) is a plus

Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

📌 Data Visualization Engineer (Bengaluru)
🏢 Soul AI
📍 Bengaluru