AWS Data Engineer

Position: Senior AWS Data Engineer

Location: Remote (India)

Job Type: Full-Time

Start Date: Immediate

About the Role:

We are looking for a Senior AWS Data Engineer with extensive experience in architecting, building, and optimizing large-scale data pipelines on AWS. The ideal candidate will have deep expertise in AWS Glue, Amazon Redshift, and advanced data modeling techniques, playing a key role in enabling analytics and business intelligence initiatives for our projects.

Key Responsibilities:

• Design, develop, and maintain scalable ETL/ELT pipelines using AWS Glue (Glue Studio, Glue Data Catalog, Glue Jobs).
• Build and optimize data workflows for large-scale, high-performance systems.
• Perform data modeling for data warehouses using Star schema and canonical models.
• Manage and tune Amazon Redshift clusters for optimal performance and cost efficiency.
• Collaborate with analytics, BI, and business teams to translate data requirements into robust solutions.
• Monitor, troubleshoot, and ensure the integrity, quality, and availability of data.
• Work with related AWS services (S3, Lambda, IAM) as part of the data ecosystem.

Requirements:

• 7+ years in a Data Engineering role, with at least 2–3 large-scale project deliveries in data pipelines and data warehousing.
• Strong expertise in AWS Glue (Glue Studio, Glue Data Catalog, Glue Jobs).
• Proven experience in Amazon Redshift and data warehouse concepts.
• Solid understanding of data modeling techniques (Star schema, canonical models).
• Advanced SQL and proficiency in Python or Scala scripting.
• Experience integrating with AWS services such as S3, Lambda, IAM.
• Prior experience in a SaaS environment is highly desirable.

Job Type: Full-time

Pay: ₹2,200,000.00 - ₹2,400,000.00 per year

Education:

• Bachelor's (Required)

Experience:

• AWS: 7 years (Required)
• Data Engineer: 7 years (Required)
• Redshift: 7 years (Required)
• Data modeling: 7 years (Required)

Work Location: In person