Data Engineer / Python Developer (ETL, BI & Automation)

Data Engineer / Python Developer (ETL, BI & Automation)

Company Description

IMPACCT is a pioneering digital platform designed to revolutionize the construction and infrastructure industry. Known as the "Bloomberg of Construction," IMPACCT provides real-time access to comprehensive market data, analytics, and industry trends. By leveraging advanced technologies, the platform offers actionable insights across all stages of the project lifecycle, from planning and execution to monitoring and compliance. IMPACCT ensures users have the resources they need to stay competitive and aligned with industry standards while fostering transparency and efficiency through its collaboration tools.

Office Timings:

Location:

Experience:

Key Responsibilities

ETL Development & Maintenance

• Build, enhance, and maintain

  ETL pipelines

  for large-scale data processing.
• Modify and optimize existing

  Python routines

  to improve efficiency.
• Conduct routine checks to monitor performance and identify bottlenecks.

Database Management

• Work extensively with

  MySQL

  (queries, schema management, optimization).
• Ensure

  data accuracy, consistency, and security

  .

Frontend Integration

• Develop and maintain simple web-based UIs (

  Flask/Django/Streamlit

  ) for non-technical users.

Data Analysis & Reporting

• Use

  Excel (advanced formulas, pivots, macros)

  for data manipulation.
• Design and maintain

  Power BI dashboards

  for actionable insights.

Process Innovation & Automation

• Integrate APIs for

  automated data ingestion and reporting

  .
• Explore AI-driven solutions for

  anomaly detection, optimization, and predictive analytics

  .

Required Skills & Qualifications

• Strong programming skills in

  Python

  (ETL, automation, APIs).
• Proven experience in

  ETL pipeline design

  and workflow optimization.
• Proficiency with

  MySQL

  and relational database concepts.
• Experience with

  Flask/Django/Streamlit

  for frontend integration.
• Advanced

  Excel

  (pivots, lookups, macros).
• Expertise in

  Power BI dashboards

  .
• Strong problem-solving and innovation mindset.

Good to Have (Optional)

• Exposure to

  AI/ML models

  for data-driven decision-making.
• Familiarity with

  API development/integration

  .
• Experience with

  Git

  for version control.