We are looking for an ML/Data Engineer to build, deploy, and operate scalable machine learning and data engineering solutions on AWS and Snowflake. The ideal candidate is robust in Python and SQL, has hands-on experience with cloud-native data pipelines, and can own production reliability end-to-end.

Key Responsibilities

Build and maintain robust data pipelines for ingestion, transformation, and serving.

Design and optimize data models, SQL transformations, and warehouse objects in Snowflake.

Develop and operate ML workflows for training, evaluation, deployment, and inference.

Build Python-based orchestration and automation for batch and near-real-time workflows.

Integrate cloud services across storage, compute, and model lifecycle management in AWS.

Implement data quality checks, validation frameworks, and monitoring controls.

Own observability: logging, alerting, retry handling, and failure recovery.

Improve performance, scalability, cost efficiency, and operational stability.





Collaborate with analytics, product, and engineering teams to deliver business-ready data/ML solutions.

Support production releases, incident response, and root-cause analysis.

Must-Have Skills

Strong Python and SQL skills.

Hands-on Snowflake experience (data modelling, transformations, performance tuning).

Experience building production ETL/ELT pipelines.

Practical AWS experience (S3, IAM, compute services, ML/data service integration).

Familiarity with ML pipeline lifecycle (train, validate, deploy, monitor).

Strong debugging and troubleshooting skills in production systems.

Good understanding of data warehousing and dimensional modelling.

Preferred Skills

Experience with orchestration tools (Airflow or equivalent).

API integration experience (FastAPI or similar).

Experience with CI/CD and DataOps practices.

📌 Data Engineer / ML Engineer (Hyderabad)
🏢 Maantic Technologies
📍 Hyderabad