AWS Data Engineer
Full Time
full time
IT
3 Nov 2025
Chennai
Verified by Turrior
Content + Source + Freshness • 13 Dec 2025 • 95% confidence
70 / 100
Offer value
Moderate value primarily due to limited disclosed salary range and experience requirements that may deter less seasoned professionals.
- Emerging tech focus involving streaming data.
- Clear requirements assist applicants.
- High engagement with AWS services.
Pros
- Opportunity to work with emerging technologies in streaming data environments.
- Engagement with a variety of platforms enhancing expertise.
- Clear job requirements assist in applicant self-selection.
Cons
- No specific salary information available.
- Limited appeal to new professionals due to high experience requirements.
- Potentially high-stress environment due to data management responsibilities.
Who it's for
Mid-level • On-site at Chennai
Good fit
- Mid-level data engineers with AWS expertise.
- Tech professionals with strong ETL background.
- Individuals keen on solving data challenges.
Not recommended for
- Beginners without relevant experience.
- Those lacking knowledge of cloud services.
- Candidates seeking remote work.
Motivation fit
Interest in contributing to data pipeline improvements.Desire to work in a fast-paced technological environment.Willingness to learn and adapt to new tools.
Key skills
Experience with AWS services for data engineering.Proficiency in PL-SQL and data visualization tools.Strong problem-solving and documentation capabilities.
Score: 70/100 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
