N Consulting Ltd

Python Engineer

N Consulting Ltd Bengaluru, Karnataka, India · ₹350K–₹1M/yr

Information Technology & Services · 51-200 employees

2 d ago
python Senior (5-10 yrs) Full-time India
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About the role

Design, develop, and maintain scalable data pipelines and cloud-based data engineering solutions using Python and AWS services. Collaborate with cross-functional teams to optimize ETL/ELT workflows and manage production workloads using container orchestration.

What they look for

Python AWS Cloud Data Engineering ETL Pipelines ELT Pipelines AWS DocumentDB AWS Aurora Snowflake Apache Spark PySpark AWS ECS AWS EKS AWS Lambda AWS IAM AWS S3 AWS VPC

Requirements

Requires over 5 years of experience with strong proficiency in Python, AWS Cloud services, and data engineering. Candidates must have hands-on expertise in Snowflake, Apache Spark, and building robust data integration pipelines.

Full description

🚀 Hiring: Python Engineer – Data Engineer (AWS Cloud)

📍 Location: Bangalore 💼 Experience: 5+ Years 🕒 Notice Period: Immediate Joiners Preferred

We are looking for an experienced Python Engineer / Data Engineer with strong AWS Cloud expertise to join our team. The ideal candidate should have hands-on experience in Python, AWS services, ETL pipelines, data engineering, and cloud-based data platforms.

🔹 Required Technical Skills:

✔ Professional proficiency in Python ✔ Strong experience in Data Engineering & AWS Cloud ✔ Deep working knowledge of AWS services:

  • AWS EC2
  • Amazon S3
  • AWS IAM
  • Amazon VPC
  • Amazon ECS / EKS
  • AWS Lambda
  • AWS Secrets Manager

✔ Strong experience in ETL/ELT Pipeline Development ✔ Hands-on experience with AWS DocumentDB ✔ Experience with AWS Aurora ✔ Strong experience with Snowflake ✔ Hands-on experience with Apache Spark / PySpark

🔹 Roles & Responsibilities:

  • Design, develop, and maintain scalable data pipelines using Python.
  • Build and optimize ETL/ELT pipelines for data processing and integration.
  • Develop cloud-based data engineering solutions using AWS services.
  • Work with AWS DocumentDB, Aurora, Snowflake, and Spark for data processing and storage.
  • Deploy and manage applications/workloads using ECS/EKS.
  • Implement secure and scalable cloud solutions using IAM, VPC, and Secrets Manager.
  • Develop and maintain reliable data workflows and pipelines.
  • Troubleshoot data pipeline and production issues and optimize performance.
  • Collaborate with cross-functional teams to understand requirements and deliver scalable data solutions.

🔹 Good to Have:

✔ AWS Cloud Migration Experience ✔ Docker & Kubernetes ✔ CI/CD Pipeline Experience ✔ Data Warehousing Concepts ✔ AWS Monitoring & Logging ✔ Cloud-Native Application Development

Salary: 350000 - 1499989 INR Per annum

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