Python Data Engineer

🚨 Hiring: Python Data Engineer
We are looking for an experienced Python Data Engineer with strong expertise in Python, SQL, PySpark, and AWS cloud data engineering to design and build scalable, reliable, and high-quality data pipelines.
🔹 Experience: 8+ Years (Strictly no profiles below 8 years)
📍 Location: Gurugram / Bangalore (No Relocation)
🔹 Notice Period: Immedidate to 30 days
🔹 Responsibilities:
• Design and build scalable batch and real-time data pipelines using Python and PySpark on AWS.
• Develop and optimise data processing solutions using AWS Glue and Amazon S3.
• Build reusable data products from complex datasets using strong data engineering practices.
• Implement data-quality checks, data reconciliation, and validation controls to ensure data accuracy
• Integrate automated testing and deployments through CI/CD pipelines.
• Collaborate with architects, data engineers, and business SMEs throughout the define, build, test, and release lifecycle.
🔹 Mandatory Skills:
• 8+ years of experience in Data Engineering.
• Strong hands-on experience in Python, SQL, and PySpark.
• Hands-on experience with AWS Glue and Amazon S3.
• Strong experience in Cloud Data Engineering and building scalable data pipelines.
• Experience with CI/CD, data quality, data validation, and reconciliation controls.
• Strong understanding of batch and real-time data processing, reusable data products, and end-to-end delivery.
📌 Resume Note: Please ensure all mandatory skills are clearly mentioned in your resume to avoid rejection during the screening process.
🔹 Good to Have:
• Exposure to AI/ML (Artificial Intelligence / Machine Learning) and forecasting solutions.
• Experience with real-time data processing and pipeline optimisation.
• Experience working with complex datasets and enterprise data platforms.
• Strong analytical, problem-solving, and collaboration skills.
📧 Email: varsha@vysystems.com
📞 Contact: +91 9150014693
🔗 LinkedIn: https://www.linkedin.com/in/varsha-kothandaraman
Important Note
🚫 Profiles with less than 8 years of experience will not be considered.
🚫 Strong hands-on experience in Python, SQL, PySpark, AWS Glue, Amazon S3, and Cloud Data Engineering is mandatory.
🚫 PF throughout the career is mandatory.
🚫 All proper employment and educational documents are mandatory.

Work arrangement
Hybrid