Data Visualization Engineer (Freelancer)

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.