Live opening · Posted 18 hours ago

AWS Data Architect

Coforge · Hyderabad, Telangana, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 18 hours ago
CompanyCoforge
LocationHyderabad, Telangana, India (On-site)
Work modeNo
SourceLinkedin
Listed18 hours ago

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About the role

Description supplied by the original job listing.

We're Hiring: AWS Data Architect | Coforge Ltd.
Are you an experienced AWS Data Architect passionate about building scalable cloud data platforms and driving enterprise data transformation? Join Coforge Ltd. and be a part of high-impact data engineering initiatives.
Job Location: Hyderabad (Onsite)
💼 Employment Type: Full-Time
📅 Experience: 15 to 20 Years
⚡ Preference: Immediate Joiners or Candidates with Short Notice Period.
Share your CV: Gaurav.2.Kumar@coforge.com
If you have any questions regarding this opportunity, please feel free to contact me on WhatsApp at: 9667427662 ( Gaurav Kumar – HR, Coforge Ltd )
Key Skills:-
✅ Python
✅ Apache Airflow
✅ AWS Services (S3, Glue, EMR, Redshift)
✅ Data Warehousing & Data Modelling
✅ Fivetran, APIs & Integration Tools
✅ Kafka, SQS, EventBridge
✅ Big Data Architecture & Cloud Data Platforms
What You'll Do:-
Architect and lead large-scale cloud-based data solutions on AWS.
Design and implement robust data pipelines using Python and Airflow.
Build scalable data processing frameworks leveraging S3, Glue, EMR, and Redshift.
Drive real-time data ingestion and streaming solutions using Kafka, SQS, and EventBridge.
Lead integration initiatives through APIs, Fivetran, AppFlow, and other enterprise tools.
Develop and optimize enterprise data warehousing and data modelling solutions.
Provide technical leadership, mentorship, and architectural governance to data engineering teams.
Ensure data security, compliance, reliability, and performance across platforms.
What We're Looking For:-
10+ years of experience in Data Engineering/Data Architecture.
Strong expertise in AWS data ecosystem and cloud-native architectures.
Hands-on experience with Python, Airflow, Redshift, EMR, Glue, and data modelling.
Experience in building enterprise-scale data platforms and modern data warehouses.
Strong leadership, stakeholder management, and team mentoring skills.

Work arrangement
No

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