Role Overview
This position is ideal for candidates who want to build production-ready systems, improve architecture thinking, and contribute to real client outcomes.
Career Opportunity
Python Data Engineer
Work on real products, collaborate with experienced mentors, and build a strong long-term engineering foundation.
Hiring Rounds
2-3
Work Mode
Full Time
Mentorship
Included
Role Description
Minimum 4 years of professional experience in data engineering or backend development with a strong focus on Python and data processing.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field.
- Strong understanding of data structures, algorithms, and software engineering principles.
- Certification in AWS/GCP or Data Engineering is a plus.
Skills You Will Use
- PYTHON, DJANGO, FLASK, SQL, NOSQL, BIG DATA, AWS, SPARK, DATA PIPELINE, ETL, DOCKER, AIRFLOW
Responsibilities
- Develop, maintain, and optimize scalable and reliable data pipelines
- Collaborate with cross-functional teams to define data needs and infrastructure
- Integrate data from various sources and transform it for business intelligence and analytics
- Monitor and troubleshoot performance issues in ETL processes
- Implement data quality checks, logging, and alerts
- Design and build APIs or microservices for internal data use
- Maintain data security and compliance with industry standards
- Participate in code reviews, testing, and documentation
Communication Expectations
- Strong verbal and written communication skills
- Ability to translate business requirements into technical solutions
- Collaborative mindset to work across multiple teams
Selection Journey
1
Application Review
Profile is screened for role fit, fundamentals, and practical experience.
2
Technical Assessment
Hands-on problem solving focused on implementation quality and reasoning.
3
Final Discussion
Team collaboration fit, growth expectations, and final role alignment.
How To Prepare
- Build 2-3 strong project examples and explain your role clearly.
- Revise fundamentals of your core tech stack before interviews.
- Prepare concise answers for problem-solving and teamwork scenarios.
Selection Process
- Step 1: Profile shortlisting.
- Step 2: Technical assessment/interview.
- Step 3: Final discussion and offer rollout.
Tips For Students & Freshers
- Keep your resume one-page and focused on practical work.
- Show GitHub, portfolio, internships, or hackathon contributions.
- Highlight learning attitude and consistency over tool count.
Ready to take the next step?
Apply now and let us evaluate your profile for current and upcoming opportunities.
Career & HR
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Building, 2nd Floor Electronic Complex, Pardeshipura, Indore 452010, M.P., India
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