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Custom Software Engineer
Job Description
Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Data Engineering
Good to have skills : NA
Minimum 3 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
Offshore Senior Data Engineer — AI Data Platforms
Roles & Responsibilities:
Build the data foundation that fuels intelligent decision-making and agent autonomy.
Professional & Technical Skills:
Design scalable ETL pipelines for structured & unstructured data
Build data lakes and real-time ingestion pipelines
Optimize data for embeddings and retrieval
Ensure data quality and governance
Additional Information:
Data engineering (ETL/ELT pipelines)
Streaming & batch processing
Cloud data platforms
AI-ready data modeling
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Data Engineering
Good to have skills : NA
Minimum 3 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
Offshore Senior Data Engineer — AI Data Platforms
Roles & Responsibilities:
Build the data foundation that fuels intelligent decision-making and agent autonomy.
Professional & Technical Skills:
Design scalable ETL pipelines for structured & unstructured data
Build data lakes and real-time ingestion pipelines
Optimize data for embeddings and retrieval
Ensure data quality and governance
Additional Information:
Data engineering (ETL/ELT pipelines)
Streaming & batch processing
Cloud data platforms
AI-ready data modeling
More Info
Key Skills
Cloud data platforms
Optimize data for embeddings and retrieval
Streaming batch processing
ELT pipelines
Build data lakes and real-time ingestion pipelines
AI-ready data modeling
Ensure data quality and governance
ETL pipelines
