AWS Data Engineer (Drive 4 June'26 Thursday, Pune(Onsite)

Role

AWS Data Engineer

Experience

7–10 Years

Relevant Experience:

Minimum 6 Years in Data Engineering

Location: Pune (Work from office 5 days)

Key Skills Required

• Python
• PySpark
• Data Modeling
• Databricks
• AWS Services – S3, Lambda, ECS
• ETL/Data Pipeline Development
• Cloud Data Engineering

Job Responsibilities

• Design, develop, and maintain scalable data pipelines using Python and PySpark.
• Build and optimize ETL/ELT workflows for large-scale data processing.
• Work extensively on Databricks for data transformation and analytics workloads.
• Implement robust data models to support business reporting and analytics needs.
• Utilize AWS services such as S3, Lambda, and ECS for cloud-based data solutions.
• Collaborate with cross-functional teams including Data Analysts, Architects, and Business stakeholders.
• Ensure data quality, performance optimization, and reliability of data platforms.
• Troubleshoot production issues and support deployment activities.

Required Qualifications

• 7–10 years of overall IT experience with at least 5 years in Data Engineering.
• Strong hands-on experience in Python and PySpark.
• Good understanding of Data Modeling concepts.
• Experience working with Databricks in enterprise environments.
• Hands-on experience with AWS cloud services, especially S3, Lambda, and ECS.
• Experience in building scalable and high-performance data solutions.
• Strong problem-solving and communication skills.

Preferred Skills

• Experience with CI/CD pipelines and DevOps practices.
• Knowledge of Agile/Scrum methodologies.
• Exposure to big data technologies and cloud-native architectures.

Notice Period Preference

• Immediate to 30 Days Preferred.

Skills: aws,databricks,s3,data engineering,python,data modeling,aws lambda,pyspark