Job Description Data Engineer / Cloud Engineer (AWS)

Position: Data Engineer / Cloud Engineer
Experience: 6-8 Years
Location: Pune
Employment Type: Full-Time

Role Overview

We are seeking a highly skilled Data Engineer / Cloud Engineer with strong expertise in AWS cloud services, modern data engineering practices, and scalable data platform development. The ideal candidate will have hands-on experience designing and building cloud-native data solutions, developing large-scale ETL/ELT pipelines, and implementing DevOps and Infrastructure-as-Code practices. Exposure to Microsoft Copilot, Generative AI, and AI/ML technologies is highly desirable.

Key Responsibilities

- Design, develop, and maintain scalable data pipelines and cloud-native data solutions on AWS.
- Build and optimize ETL/ELT processes for structured and unstructured data.
- Develop and manage data lakes and data warehouse architectures.
- Work with large-scale distributed data processing frameworks such as Apache Spark.
- Implement Infrastructure as Code (IaC) using Terraform and automate cloud deployments.
- Design and manage containerized workloads using Kubernetes.
- Establish and maintain CI/CD pipelines to support efficient software delivery.
- Collaborate with data scientists, architects, and business stakeholders to deliver data-driven solutions.
- Explore and leverage AI/ML and Generative AI capabilities to enhance business outcomes.
- Ensure data quality, reliability, security, and governance across cloud environments.




- Troubleshoot complex technical issues and drive continuous platform improvements.
- A hands-on AWS Data Engineer with strong cloud engineering capabilities, experience in building scalable data platforms, and exposure to Copilot/GenAI technologies, capable of driving end-to-end data modernization initiatives.

Required Skills & Experience

Cloud & Data Engineering

- AWS Services: S3, RDS, Glue, EMR, Lambda
- Data Lake and Data Warehouse Architecture
- ETL/ELT Pipeline Development
- Data Modeling and Performance Optimization

Programming & Big Data

- Python
- Scala
- Apache Spark

Databases

- SQL Databases: MySQL, Redshift
- NoSQL Databases: MongoDB
- Strong SQL and data querying skills

DevOps & Infrastructure

- Terraform and Infrastructure as Code (IaC)
- Kubernetes and Containerized Applications
- CI/CD Pipeline Development
- DevOps Best Practices

AI & Emerging Technologies

- AI/ML Fundamentals
- Generative AI Fundamentals
- Experience with Microsoft Copilot or other Agentic AI tools

Preferred Qualifications

- Experience with enterprise-scale cloud migration and modernization initiatives.
- Knowledge of data governance, security, and compliance best practices.
- Exposure to MLOps and AI-driven automation frameworks.
- AWS Certification(s) preferred.
- Strong analytical and problem-solving capabilities.

Soft Skills

- Excellent communication and stakeholder management skills.
- Ability to work in a fast-paced, collaborative setting.
- Strong problem-solving and troubleshooting mindset.
- Passion for learning and adopting new technologies.

📌 Data Engineer / Cloud Engineer (AWS) (Pune)
🏢 Ascendion Engineering
📍 Pune