This is for Govt of India National E-Governance Dept.

If you are from other than Bangalore, it is also fine. Location can be any major city, depending upon specific part of AI mission or hybrid.

Designation: Data Engineer

How to apply?

Go to this link. We have our internal tool to take through the flow. There is an optional but preferred AI screening (there is no AI auto rejection)

https://app.careerplan.app/#/a/rToVq6w4pp3F?jt=Data%20Engineer&cpReturnUrl;=%2Fjob&job;_reference_id=TC-JOB-20260901-GSKW2B

Data Engineer

Designation: Data Engineer

Educational Qualification

 B.Tech / M.Tech in Computer Science, Information Systems, or Data Engineering.

 Certification in Big Data / Cloud Data Platforms (AWS, Azure, GCP) preferred.

Experience

 4–7 years in designing and implementing scalable data pipelines and integration frameworks.

 Robust understanding of ETL, data quality, and schema design in distributed systems.

 Experience in integrating structured, semi-structured, and unstructured data for

AI/ML projects.

Key Responsibilities

1. Design, implement, and maintain robust data pipelines supporting AI/ML models.
2. Develop ETL processes for ingesting data from multiple sources including APIs,

databases, and flat files.
1. Ensure data integrity, lineage,



and compliance with metadata standards defined by

NeGD.
1. Collaborate with Data Science and AI/ML teams to optimize datasets for model

consumption.
1. Implement data versioning and quality validation routines.
2. Monitor data flow performance and optimize for latency and throughput.
3. Apply data governance practices aligned with MeitY’s Responsible AI framework

and DPDPA (2023).

Technical Competencies

 Programming: Python, SQL, Scala.

 Data Tools: Apache Airflow, Kafka, Spark, NiFi.

 Databases: PostgreSQL, MongoDB, BigQuery, Snowflake.

 ETL & Warehousing: Talend, AWS Glue, Azure Data Factory.

 Data Management: Delta Lake, DataBricks, Hive.

 Cloud Data: AWS (S3, RDS, Lambda), Azure (Data Factory, Storage), GCP

(BigQuery, Cloud Storage).

 Tools: Docker, Git, data modelling tools, basic infrastructure automation.

 Streaming: Apache Kafka, AWS Kinesis, real-time data processing

 Best Practices: Data validation, error handling, and pipeline observability.

Pay: ₹500,000.00 - ₹1,500,000.00 per year

Application Question(s)

- What is your notice period / lead time to join ?
- Do you have any offer in hand?

Work Location: Hybrid remote in Bengaluru, Karnataka

📌 Data Engineer (Bengaluru)
🏢 Manomaya AI Systems
📍 Bengaluru