Maantic Technologies
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Hyderabad · On-site · 1-3 Yrs · Sep 25
Business consulting · 51 to 200 Employees · Sunnyvale, US
Hiring: Engineering
What employees say
+ A fully compliant organization with an excellent culture, strong work-life balance, and transparent communication from management. A great place to work and grow
− It would be great if the Pune office could have a canteen facility with snacks and meal options, enhancing convenience and the overall employee experience
More reviews on the company profile.
Interview experience · Senior Data Engineer
The interview process included an initial screening followed by a technical L2 discussion for a Senior Data Engineer role. The technical round was broader than only SQL and included practical data engineering topics such
Difficult difficulty · Pune · 9 reports
More interview insightsJob description
Overview
We are looking for an ML/Data Engineer to build, deploy, and operate scalable machine learning and data engineering solutions on AWS and Snowflake.
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.
- Collaborate with analytics, product, and engineering teams to deliver business-ready data/ML solutions.
- Support production releases, incident response, and root-cause analysis.
Qualifications
- Strong Python and SQL skills.
- Hands-on Snowflake experience (data modelling, transformations, performance tuning).
- 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
- API integration experience (FastAPI or similar).
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Job application FAQ
Last updated 3 October 2026
- How do I apply for Data Engineer / ML Engineer at Maantic Technologies?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Maantic Technologies may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer / ML Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer / ML Engineer remote or on-site in Hyderabad, Telangana?
- This listing is marked on_site with location Hyderabad, Telangana. Confirm details on the job description before applying.
- What skills matter for this Data Engineer / ML Engineer role at Maantic Technologies?
- This is a mid-level Data Engineer / ML Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.