AWS Data Engineer

Position: Python Data Engineer (C2H)

Location: Chennai

Experience: 7 9 Years

Budget: Up to 12 LPA Fixed

Employment Type: Contract-to-Hire (C2H)

Notice Period: Immediate Joiners / Max 15 Days

Mandatory Skills

• Python
• PySpark
• AWS Glue
• AWS EMR
• Apache Airflow
• AWS S3
• AWS Redshift

Job Description We are looking for a skilled Python Data Engineer with 6 8 years of experience in building and maintaining scalable data pipelines and ETL solutions on AWS. The ideal candidate should have strong hands-on expertise in Python, PySpark, AWS Glue, AWS EMR, and Apache Airflow.

Key Responsibilities

• Develop and maintain scalable data pipelines using Python and PySpark.
• Design and manage ETL workflows using AWS Glue, EMR, S3, and Redshift.
• Build and schedule data orchestration workflows using Apache Airflow.
• Ensure data quality, validation, monitoring, and pipeline reliability.
• Optimize data processing jobs for performance and scalability.
• Collaborate with analytics, business, and engineering teams to deliver data solutions.
• Troubleshoot production issues and support ongoing data operations.

Required Experience

• 6 8 years of Data Engineering experience.
• Strong hands-on experience with Python and PySpark.
• Experience working with AWS Data & Analytics services (Glue, EMR, S3, Redshift).
• Hands-on experience with Apache Airflow.
• Good understanding of ETL, Data Warehousing, and Big Data concepts.
• Strong problem-solving and debugging skills.

Screening Criteria (Strict)

6 8 years of relevant Data Engineering experience

Strong hands-on experience in Python, PySpark, AWS Glue, AWS EMR, and Airflow

Immediate Joiners or candidates with a notice period of up to 15 days only

Budget fitment: Current/Expected CTC within 12 LPA

Chennai-based candidates or willing to relocate immediately

Note: Please share only relevant profiles matching all mandatory skills, budget constraints, and immediate joining requirements.