AWS Data Engineer
1 week ago
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, ₹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
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