Aws Data Engineer

Vlink; Hyderabad; Hybrid; INR 2,000,000 - 4,000,000; Full time

Job summary

Vlink is seeking an experienced AWS Data Engineer to design, develop, and maintain scalable data pipelines in a cloud-first environment. The role demands strong hands-on capabilities with AWS services, S3 storage, Python, PySpark, and SQL to support data-driven initiatives.

Ideal candidates have 6–12 years of data engineering experience and a proven ability to deliver reliable ETL/ELT solutions, optimize performance, and collaborate with cross-functional teams across the organization.

Qualifications

• 6–12 years of relevant experience in Data Engineering.
• Strong hands-on experience with AWS-based data engineering projects.
• Hands-on experience with Python, PySpark, SQL, and AWS S3.

Responsibilities

• Design, develop, and maintain scalable data pipelines using AWS services.
• Work with AWS S3 for data storage, management, and processing.
• Develop data processing and transformation workflows using Python and PySpark.
• Write complex SQL queries for data extraction, transformation, and analysis.
• Build and optimize ETL/ELT pipelines for large-scale data processing.
• Perform data validation, cleansing, and quality checks.
• Collaborate with cross-functional teams to understand data requirements.
• Troubleshoot and resolve data pipeline issues.

Skills

AWS

AWS S3

Python

PySpark

SQL

Job description

Job Summary

We are looking for an experienced AWS Data Engineer with 612 years of experience in designing, developing, and maintaining scalable data engineering solutions. The ideal candidate should have strong hands‑on experience with AWS, AWS S3, Python, PySpark, and SQL.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using AWS services.
• Work with AWS S3 for data storage, management, and processing.
• Develop data processing and transformation workflows using Python and PySpark.
• Write complex SQL queries for data extraction, transformation, and analysis.
• Build and optimize ETL/ELT pipelines for large-scale data processing.
• Perform data validation, cleansing, and quality checks.
• Optimize data pipelines for performance, scalability, and reliability.
• Collaborate with cross‑functional teams to understand data requirements.
• Troubleshoot and resolve data pipeline issues.

Mandatory Technical Skills

• AWS: Strong hands‑on experience with Amazon Web Services.
• AWS S3: Experience with S3 buckets, data storage, and data management.
• Python: Strong Python programming and scripting skills.
• PySpark: Experience in distributed data processing and large‑scale data transformations.
• SQL: Strong SQL skills, including complex queries, joins, subqueries, and query optimization.

Required Qualifications

• 6–12 years of relevant experience in Data Engineering.
• Strong experience in AWS‑based data engineering projects.
• Hands‑on experience with Python, PySpark, SQL, and AWS S3.
• Experience in developing and supporting ETL/ELT data pipelines.
• Good problem‑solving and analytical skills.
• Excellent communication and collaboration skills.

Mandatory Skills: AWS, AWS S3, Python, PySpark, SQL.

Experience: 6–12 Years