Full Stack Data Engineer

We are seeking a highly skilled and business savvy Full Stack Data Engineer & Analytics Developer to join our team. This role blends data analytics, backend engineering, and frontend development. The ideal candidate will possess strong analytical expertise, full stack development capabilities, and hands-on experience with databases including Postgres and Snowflake. You will help bridge the gap between raw data, scalable systems, and actionable business insights.

• Develop, maintain, and optimize interactive dashboards and reports using Power BI.
• Collaborate with cross functional teams to translate business objectives into analytical and technical solutions.
• Extract, manipulate, and analyze large datasets using SQL (Postgres, Snowflake) and Python.
• Build and maintain backend services using Python Flask and SQL Alchemy.
• Develop and enhance front-end interfaces using JavaScript, React, Ag-Grid, and CSS.
• Identify key trends, patterns, and anomalies in data to support strategic decision making.
• Build and maintain data pipelines and integrations, ensuring data integrity, performance, and reliability.
• Conduct ad-hoc analysis to support operational and strategic initiatives.
• Present technical and analytical insights to stakeholders in a clear and compelling manner.
• Stay current with emerging tools, frameworks, and best practices in analytics and full stack development.

• Bachelor's degree in business, Data Science, Computer Science, Statistics, or related field.
• 3+ years of experience in data analytics, full stack development, or similar hybrid roles.
• Advanced Power BI skills including DAX, data modeling, and report optimization.
• Proficiency with SQL (joins, CTEs, subqueries) and experience with Postgres and Snowflake.
• Strong programming skills in Python (pandas, Num Py, matplotlib, seaborn) and experience with Flask and SQL Alchemy.
• Frontend experience using JavaScript, React, Ag-Grid, HTML, and CSS.
• Ability to communicate complex findings to non-technical stakeholders.
• Experience with data warehousing and ETL processes is a plus.
• Web development experience (Ajax, HTML, CSS, JavaScript).

• Familiarity with version control tools (e.g., Git).
• Exposure to business domains such as finance, marketing, operations, or sales analytics.
• Knowledge of machine learning or predictive modeling.
• Bonus points:
  
  Experience with PHP, Thought Spot, Sigma Computing.