AWS Data Engineer
Full Time
full time
Information Technology
3 Nov 2025
Chennai
Trusted by Turrior
Content + Source + Freshness • 18 Dec 2025 • 95% confidence
76 / 100
Offer value
The role offers moderate value, primarily due to its focus on advanced AWS technologies and the requirement for strong technical skills. However, lack of clear salary information may deter potential candidates.
- Work with leading AWS cloud technologies
- Opportunity to develop complex data solutions
- Focus on a collaborative, innovative environment
Pros
- Engagement with cutting-edge technologies in cloud computing
- Opportunity to work on large-scale data systems
- Collaborative environment with a focus on product development
Cons
- No specified salary range in the listing
- High technical requirements may limit candidate pool
- Full-time commitment may lack flexibility
Who it's for
Mid-level • On-site
Good fit
- Data engineers experienced in AWS
- Tech-savvy individuals interested in cloud solutions
- Professionals looking to enhance their data processing skills
Not recommended for
- New graduates without cloud experience
- Those preferring remote work setups
- Professionals looking for less demanding technical roles
Motivation fit
Desire to work with large data setsInterest in developing and optimizing ETL pipelinesWillingness to engage in problem-solving and troubleshooting
Key skills
AWS services (SQS, SNS, Redshift)PL/SQL and Python proficiencyUnderstanding of data visualization tools
Score: 76/100 AI verified analysis
About the job
Collaborate with Product teams ensuring that raw data is cleansed and transformed
and useable by downstream consumers (ML Engineers, BI analytics)
Expect level PL-SQL
Assist and advise on the re-development and modernisation of end-to-end ETL
pipelines and introduce new technologies where appropriate in a real-time streaming
environment dealing with very large data volumes
Working with AWS cloud infrastructure (specifically SQS, SNS, Redshift,
OpenSearch, Athena, Kinesis, AWS code pipeline) to develop, innovate and maintain
data flowing through various queues and data warehouses
Working with a variety of data repository platforms (including SQL stores such as
Oracle), as well as implementing data visualisation and network analysis (e.g
GraphdB)
Maintain and ‘productionise’ machine learning and AI models
Assist in the creation of next generation data ingestion platforms – sourcing data
using Webscrapes, APIs, Email, and flat file (FTP) methods
Understanding conflict resolution methods and assist subject matter experts in the
debugging on data ingestion and managing overall feed uptimes across a large set of
data collectors.
Create and maintain detailed documentation and functional design specifications
including data flows and data conversion
Provide technical information to assist in the development of client facing product
documentation
Adhere to change management protocols and version control
Present advanced technical designs with non-technical stakeholders
experience6
and useable by downstream consumers (ML Engineers, BI analytics)
Expect level PL-SQL
Assist and advise on the re-development and modernisation of end-to-end ETL
pipelines and introduce new technologies where appropriate in a real-time streaming
environment dealing with very large data volumes
Working with AWS cloud infrastructure (specifically SQS, SNS, Redshift,
OpenSearch, Athena, Kinesis, AWS code pipeline) to develop, innovate and maintain
data flowing through various queues and data warehouses
Working with a variety of data repository platforms (including SQL stores such as
Oracle), as well as implementing data visualisation and network analysis (e.g
GraphdB)
Maintain and ‘productionise’ machine learning and AI models
Assist in the creation of next generation data ingestion platforms – sourcing data
using Webscrapes, APIs, Email, and flat file (FTP) methods
Understanding conflict resolution methods and assist subject matter experts in the
debugging on data ingestion and managing overall feed uptimes across a large set of
data collectors.
Create and maintain detailed documentation and functional design specifications
including data flows and data conversion
Provide technical information to assist in the development of client facing product
documentation
Adhere to change management protocols and version control
Present advanced technical designs with non-technical stakeholders
experience6
