Data Specialist - AWS
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Salary
≈ $28k – $53k per year (Estimated)
Location
In office (Hyderabad)
Experience
10+ years exp
First seen by Alion on Oct 26, 2026.
Overview
Company
Impact
Profile match
Coforge is a global digital services and information technology solutions company headquartered in Noida, Uttar Pradesh, India. The firm provides advanced capabilities in artificial intelligence engineering, cloud modernization, data analytics, and digital process automation, primarily serving the financial services, insurance, and travel sectors. Leveraging deep domain expertise and an extensive international delivery network, it helps enterprise clients modernize core systems and accelerate large-scale digital transformation.
Join our dynamic team and make a significant impact on our business growth by transforming data flows for Asset and Wealth Management clients to support Asset Management foundational data sets for all Front Office desks and middle- and back-office reporting functions. Apply now and be part of our journey towards digital transformation and automation. Our Asset Management unit has an extensive and growing global presence with clients across North America, the UK, and Europe.
Responsibilities:
- Participate in architecture design and decision-making and development of MVP.
- Participate in the design, development, testing, roll-out, and documentation of large investment and wealth management systems.
- Participate in multiple scrums to solve complex challenges covering multiple business areas.
- Develop with AWS Serverless architecture with Python, Spark, SQL, Java, and event-driven processes.
- Work in a highly innovative technical team with plenty of opportunities to improve and grow your technical skills.
Requirements:
- Experience in developing an AWS Well-Architected Framework.
- Working with AWS Serverless architecture to develop data pipelines.
- Expert in Python, PySpark, and Java.
- Exposure to Common Architectural and Data Engineering Patterns, Practices, and Principles.
- SQL knowledge. The ability to work on a variety of relational database platforms is desirable.
- Experience in working with fully automated DevOps pipelines.
- Experience in working in a scaled agile environment.
- General financial knowledge is desirable but not essential.
Skills
AWS, Amazon Web Services, ETL, PySpark, Python, data pipelines
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