Data Engineer – AWS, PySpark, Airflow, Redshift

5 hours ago


Bengaluru, Karnataka, India Toptalcare Full time ₹ 19,20,000 - ₹ 1,92,00,000 per year

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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