Data Engineer – AWS, PySpark, Airflow, Redshift
5 hours ago
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
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