Overview
Job Opening: Maps Data Engineer
Location: Hyderabad
Experience: 4+ years
About Antal:
Antal International, East Patel Nagar Delhi, is a leading recruitment consultancy having expertise in connecting top talent across IT, Manufacturing and FMCG industries with leading organizations.
About the role:
We are looking for a Maps Data Engineer to work closely with the Data Science team in building data infrastructure that supports agentic systems and machine learning applications. This role focuses on designing scalable data pipelines, processing large-scale datasets, and supporting ML workflows used in intelligent mapping and question-answer systems.
The ideal candidate will contribute to data engineering, benchmarking, and ML pipeline operationalization, enabling the development of next-generation agentic AI systems and geospatial data platforms.
Key Responsibilities
- Collaborate with Data Science and ML teams to design and implement scalable data pipelines using Python and SQL.
- Build and maintain data infrastructure that supports agentic system development and machine learning workflows.
- Implement ETL and large-scale data processing pipelines using Spark (Scala or Python).
- Support feature engineering, data preparation, transformation, and validation for ML models.
- Lead and participate in benchmarking activities for question-answer systems, ensuring accuracy and reliability.
- Analyze benchmark results to identify performance gaps and improvement opportunities.
- Assist with ML pipeline operationalization, including batch or streaming data ingestion and data readiness.
- Develop backend components and services supporting data processing and ML systems.
- Support deployment workflows, including creating Docker images and assisting in integration and deployment processes.
- Facilitate knowledge transfer and training sessions related to Basemap concepts and data usage.
- Partner with ML engineers to understand data dependencies, scalability needs, and system performance.
Required Skills
- Strong programming experience in Python and/or Scala.
- Hands-on experience with Spark (PySpark or Scala/Spark) for large-scale data processing.
- Proficiency in SQL and data transformation workflows.
- Solid understanding of data engineering concepts and distributed data systems.
- Experience working with machine learning workflows and data requirements for ML models.
- Familiarity with Knowledge Graphs and vector databases.
- Experience with Docker and containerized deployment workflows.
- Familiarity with protobuf for data serialization.
- Experience with backend development and data-driven services.
- Strong analytical and problem-solving skills.
- Knowledge of prompt engineering techniques.
Nice to Have
- Prior experience working closely with Data Science or ML teams.
- Familiarity with feature engineering, model pipelines, or ML system architecture.
- Experience working with large-scale distributed systems and datasets.
- Prior experience with maps, geospatial datasets, or location intelligence platforms.
- Basemap expertise or familiarity with mapping frameworks and geospatial data infrastructure.