Data Engineer / Data Analytics Lead

Infotel India is seeking an experienced ETL, Python, Visualization Lead to join our dynamic team. In this leadership role, you will be responsible for driving the design and implementation of ETL processes, developing Python-based solutions, and creating compelling data visualizations that empower business decisions. You will collaborate closely with stakeholders, data engineers, and analysts to ensure efficient data workflows and impactful insights. This is an exciting opportunity for a technical expert with strong leadership skills to make a significant impact on our data projects and client outcomes.

Responsibilities

• Design, develop, and maintain scalable ETL pipelines
• Work with large datasets to ensure data quality and integrity
• Develop data processing solutions using Python
• Build dashboards and reports using data visualization tools (Power BI / Tableau or similar)
• Lead and mentor junior team members
• Collaborate with cross-functional teams for data-driven decision-making
• Optimize data workflows and improve system performance

Requirements

• 🔹 Mandatory Skills:
• Strong experience in ETL development
• Hands-on experience in Python
• Expertise in Data Visualization tools (Power BI / Tableau / equivalent)
  🔹 Preferred Skills:
• Experience in cloud platforms (AWS/Azure/GCP)
• Knowledge of data warehousing concepts
• Strong problem-solving and communication skills

Benefits

Apply today with your CV! All applications will be treated in strict confidentiality!

• Family Leave (Maternity, Paternity)
• Training & Development
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)

The Work Environment is stimulating, creative, open, informal and it is based on teamwork, mutual trust and fairness for all. The open work environment gives each employee to be expert in the desired area and great learning opportunities to grow with the organization. Our unique culture supports open dialogue, candid feedback, and enduring relationships. We treat each other with dignity and respect, as human beings first, professionals second.