Data Engineer – AWS, PySpark, Airflow, Redshift

Company: Hiringo (on behalf of our Global Technology Partner)
Employment Type: Contractual (Long-Term)
Work Mode: Hybrid
Interview Mode: Face-to-Face / Microsoft Teams
Locations: Hyderabad / Bangalore

About the Opportunity

Hiringo, a next-generation Staffing & Workforce Solutions organization, is seeking an experienced Data Engineer for one of our leading global technology clients.
This role involves designing, developing, and optimizing scalable data pipelines and AWS-based infrastructure to drive key business decisions.

If you’re passionate about building robust, data-driven systems and enjoy solving complex data challenges — we want to hear from you!

Key Responsibilities

• Design, develop, and maintain ETL pipelines using PySpark and Airflow.
• Architect and manage AWS data infrastructure (S3, Redshift, Glue, Lambda, EMR).
• Write and optimize SQL queries and data models for efficient data access.
• Implement data validation, testing, and monitoring frameworks.
• Troubleshoot and improve performance and reliability of data workflows.

Required Qualifications

• Total Experience: 10+ years
• Relevant Experience: 5+ years in Data Engineering / Data Warehousing
• Strong command of Python, SQL, PySpark, Airflow
• Hands-on experience with AWS Data Services (Redshift, Glue, Lambda, EMR)
• Proven expertise in ETL architecture and workflow automation

Preferred Skills

• Experience with Apache Iceberg or other Data Lake frameworks
• Exposure to the Semiconductor / High-Tech domain is an advantage

Additional Details

• Shift: General
• CTC: Up to ₹19,20,000 per annum (exclusive of deductions and benefits)

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Job Type: Contractual / Temporary
Contract length: 12 months

Pay: Up to ₹1,920,000.00 per year

Benefits:

• Provident Fund

Work Location: In person