Senior AWS Data Lake Framework Engineer (India)

Senior AWS Data Lake Framework Engineer (India)

12 Aug
|
Zanusys
|
India

12 Aug

Zanusys

India

WE’RE HIRING | Senior AWS Data Lake Framework Engineer

Location: Remote – Pan India
Experience: 7+ Years
Notice Period: 2–3 Months Joiners Preferred

Are you an experienced Data Engineer with strong expertise in AWS Data Lakes, reusable data pipeline frameworks, and modern data architecture?

We’re looking for a Senior AWS Data Lake Framework Engineer who can lead enterprise-scale data lake initiatives and build scalable, reusable, metadata-driven frameworks.

KEY RESPONSIBILITIES

Lead migration from MS SQL / RDBMS to AWS Data Lake with strong data integrity & quality
Design & build reusable data pipeline frameworks—not one-off pipelines
Implement Medallion Architecture (Bronze → Silver → Gold)
Develop data models using Star Schema, Snowflake Schema, Data Vault & SCD Type 1/2/3
Build, deploy & optimize production-grade data pipelines
Mentor engineering teams on framework adoption and best practices
Optimize AWS costs through right-sizing, partitioning, workload-aware architecture & monitoring
Select the right technologies for ingestion, transformation, orchestration & cataloging
Implement Infrastructure as Code using Terraform / CloudFormation
Establish CI/CD practices for data pipelines

MUST-HAVE SKILLS

7+ years of hands-on Data Engineering experience
4+ years focused on AWS Data Lakes
Proven RDBMS → AWS Data Lake migration experience
Strong experience building reusable,



parameterized & metadata-driven frameworks
Deep understanding of Medallion Architecture
Robust data modeling expertise
AWS cost optimization expertise

AWS TECHNOLOGY STACK

Amazon S3 – Lifecycle & Storage Tiering
AWS Glue / EMR – Spark & PySpark Optimization
MWAA / Step Functions – Orchestration
Glue Data Catalog / Lake Formation
Amazon Athena
Apache Iceberg / Delta Lake / Hudi
Terraform / CloudFormation
GitLab CI / Jenkins / AWS CodePipeline

AWS Certifications such as Solutions Architect, Data Analytics or DevOps are preferred.

NOT A FIT IF:

Experience is limited to building one-off pipelines
No framework-building experience
No RDBMS-to-Data Lake migration exposure
Unable to explain AWS cost implications of architectural decisions
No understanding of Medallion Architecture or modern table formats

Pay: ₹1,500,000.00 - ₹2,500,000.00 per year

Application Question(s):

- How many years of experience do you have in a data Lake?
- How many years of experience do you have in AWS?
- How many years of experience do you have in building a pipeline?
- Client budget is up to 25 LPA. Varies according to the experience. Is that ok with you?
- This client is looking for 60 days joiners since this client interview process is slow. So apply only if you are 60 days joiner only. 90 days also preferable.

Work Location: Remote

📌 Senior AWS Data Lake Framework Engineer (India)
🏢 Zanusys
📍 India

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