Job Overview
| Particulars | Details |
|---|---|
| Position | Senior Data Engineer – Python & AWS |
| Company | Potla Tech Solutions Pvt. Ltd. |
| Location | India Only |
| Job Type | Remote |
| Experience | 9 - 10 years |
| Category / Department | IT |
| Application Mode |
🏢 About Potla Tech Solutions Pvt. Ltd.
Company Overview:
Potla Tech Solutions Pvt. Ltd. is a Hyderabad-based IT services company providing technology solutions to businesses across different industries. The company focuses on innovative and customized IT solutions designed to help organizations address business challenges and achieve growth in the digital environment. Its services include software development, cloud computing, and other technology solutions. The company states that it has acquired ISO certifications as part of its focus on quality and excellence.
Company Mission:
To deliver outstanding value to clients through creative technology solutions, best practices, continuous improvement, and a culture focused on excellence.
Company Vision:
Not Provided
Core Values / Principles
Collaboration
Innovation
Excellence
Partnership
Quality
Continuous improvement
Customer value
#815, 8th Floor, Manjeera Majestic Commercial, JNTU, Hitech City Road, KPHB, Kukatpally, Hyderabad, Telangana – 500085
💡 Editor's Note / Preparation Tip
Resume Tips:
Highlight 6–10 years of data engineering experience prominently.
Clearly showcase hands-on Python and AWS experience.
Include advanced SQL projects and database optimization experience.
Highlight ETL development and production data pipelines.
Mention the AWS services you have used in actual projects where applicable.
Include React.js experience because it is listed as a required skill.
Quantify data pipeline performance, processing volume, reliability, or optimization achievements where possible.
Clearly mention experience working independently in remote teams.
Interview Preparation:
Revise advanced Python concepts and data-processing techniques.
Prepare data engineering and ETL architecture scenarios.
Review AWS services commonly used for data engineering and pipeline development.
Practice advanced SQL queries, joins, window functions, CTEs, and query optimization.
Prepare to explain how you design reliable and scalable data pipelines.
Review data quality, error handling, monitoring, and pipeline recovery strategies.
Be ready to discuss production data engineering challenges you have solved.
Prepare examples demonstrating independent remote collaboration and problem-solving.
Professional Tips:
Focus your resume on hands-on data engineering rather than generic software development.
Clearly distinguish production AWS experience from theoretical knowledge.
Mention the scale and complexity of your data pipelines.
Keep your GitHub or technical portfolio updated if available.
Follow the specified application subject line when submitting your resume.
Highlight remote-working experience and independent ownership of projects.
📝 Job Description
Position Details:
Potla Tech Solutions Pvt. Ltd. is looking for experienced Senior Data Engineers to join its technology team on a Contract-to-Hire basis. The role is fully remote and open to candidates located in India.
The selected candidate will work extensively with Python, AWS, SQL, data engineering, ETL processes, and data pipelines. The position requires the ability to independently design, build, manage, and troubleshoot data engineering solutions while collaborating effectively in a remote environment.
Experience with React.js is also specified as part of the required technical skill set.
Benefits / Compensation
Remote work opportunity.
Contract-to-Hire employment model.
Salary/compensation: Not Provided.
Candidate Requirements:
6–10 years of professional experience.
Strong hands-on Python experience.
Strong AWS experience.
Advanced SQL skills.
Strong data engineering experience.
Strong ETL expertise.
Experience building and managing data pipelines.
Experience with React.js.
Excellent problem-solving skills.
Ability to work independently in a remote environment.
Preferred Skills:
Python
AWS
Advanced SQL
Data Engineering
ETL
Data Pipelines
React.js
Cloud Computing
Problem Solving
Working Days & Hours:
Not Provided
How to Apply:
Candidates can send their updated resume to murali@potlatechsolutions.com with the subject: Application – Senior Data Engineer | Python & AWS.
🎯 Key Responsibilities
- ✓ Develop and maintain data engineering solutions using Python.
- ✓ Build, manage, and maintain scalable data pipelines.
- ✓ Design and implement ETL processes.
- ✓ Work with AWS cloud services for data engineering workloads.
- ✓ Write and optimize advanced SQL queries.
- ✓ Support data processing and integration requirements.
- ✓ Troubleshoot data pipeline and engineering issues.
- ✓ Collaborate effectively while working independently in a remote environment.
- ✓ Contribute to reliable and maintainable data engineering solutions.
💡 Required Qualifications & Skills
🚀 Career Guidance & Interview Insights
To help you succeed, we've compiled original preparation guides, resume keywords, and growth analytics for this category of role.
Joining as a Senior Data Engineer – Python & AWS offers a fantastic opportunity to work at the forefront of technological innovation. You will be exposed to modern software development lifecycles, collaborate with cross-functional product teams, and design scalable architectures that directly impact end-users. The continuous learning curve in tech ensures that your programming, debugging, and system engineering skills remain highly marketable and sharp.
The career roadmap in technology is highly rewarding. Typical progression starts as a Junior Software Engineer, moving to Associate Developer and then Senior Software Engineer (3-6 years). From there, professionals choose between an individual contributor track—becoming a Tech Lead, Staff Engineer, and Principal Architect—or a management track, advancing to Engineering Manager, Director of Engineering, and Chief Technology Officer (CTO).
Expected Technical & Behavioral Questions:
- Q1: How do you optimize database query performance?
Answer Tip: Talk about indexing strategies, query execution plan analysis, avoiding N+1 queries, and implementing caching layers (like Redis). - Q2: Explain the differences between Microservices and Monolithic architecture.
Answer Tip: Highlight scaling advantages, loose coupling, independent deployments, network latency considerations, and data consistency challenges in microservices. - Q3: How do you handle merge conflicts in Git?
Answer Tip: Explain checking out the local branch, pulling the latest main branch, running git merge, opening the conflicted files to resolve blocks manually, and committing the resolved merge.
To pass automated ATS (Applicant Tracking System) screening and catch the recruiter's eye, tailor your resume with the following tips:
- Keywords to include: Software Engineering, SDLC, OOP, CI/CD Pipelines, SQL databases, Agile, Unit Testing, Code Review, Cloud Architectures (AWS/Azure).
- Format: Use a clean, single-column resume format. Avoid graphics, text boxes, or tables which can scramble ATS parser outputs.
- Quantify Results: Instead of writing 'wrote code', write 'Developed a caching system that reduced server response times by 35%.'
Estimated compensation for this role type in India is ₹12,00,000 - ₹25,00,000+ per annum (Senior/Lead level). The actual salary package offered depends on factors such as company size, work mode (remote or on-site), individual technical proficiency, and negotiations during final HR rounds.
Highly recommended certifications include: AWS Certified Solutions Architect, Microsoft Certified: Azure Fundamentals, Certified Kubernetes Administrator (CKA), Oracle Certified Professional Java SE, or tech-stack specific achievements (e.g. Meta Front-End Developer certification).
Frequently Asked Questions
What position is Potla Tech Solutions hiring for?
The company is hiring a Senior Data Engineer – Python & AWS.
How much experience is required?
Candidates should have 6–10 years of experience.
Is the position remote?
Yes. The position is fully remote.
Who can apply for this position?
The opportunity is open to candidates located in India.
What type of employment is offered?
The position is offered on a Contract-to-Hire (C2H) basis.
Which primary technologies are required?
Strong Python, AWS, advanced SQL, data engineering, ETL, and data pipeline experience are required.
Is React.js experience required?
Yes. Experience with React.js is included among the required skills.
What type of data engineering experience is expected?
Candidates should have hands-on experience building and managing data pipelines and working with ETL processes.
What personal skills are important for the role?
Strong problem-solving skills and the ability to work independently in a remote environment are important.
How can candidates apply?
Candidates can send their updated resume to murali@potlatechsolutions.com with the subject "Application – Senior Data Engineer | Python & AWS."
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