The Role
Designs and builds large-scale batch and real-time data pipelines, including ingestion, transformation, storage, data models, APIs, and event-driven architectures. The role involves hands-on coding in Python and SQL, cloud-native AWS workflows, performance tuning, data quality, observability, architecture, and code reviews. The Principal Data Engineer partners with AI, backend, and DevOps teams while mentoring engineers as a technical individual contributor.
Summary Generated by Built In
We’re hiring a hands-on Principal Data Engineer who can both architect and build large-scale data systems.
You’ll design the blueprints for modern data pipelines, then write the code to bring them to life. From event-driven ingestion to analytics-ready datasets, your work will power the data backbone behind Emumba’s AI and product platforms.
You’ll design the blueprints for modern data pipelines, then write the code to bring them to life. From event-driven ingestion to analytics-ready datasets, your work will power the data backbone behind Emumba’s AI and product platforms.
This is a technical IC position, not a managerial one. You’ll spend most of your time writing code, optimizing data pipelines, and mentoring engineers through real-world implementation.
Key Responsibilities
- Design and code robust data pipelines for batch and real-time use cases.
- Define data models, schemas, and evolution strategies for scalable systems.
- Implement reliable ingestion, transformation, and storage layers across cloud services.
- Work hands-on with event-driven architectures, microservices, and data APIs.
- Optimize data quality, performance, and observability.
- Partner with AI and backend teams to make data discoverable and usable in production.
Contribute directly to architecture, code reviews, and performance tuning.
Skills, Knowledge and Expertise
Must-Have Skills
- 6+ years of hands-on experience in designing and building production data systems.
- Strong coding in Python and proficiency in SQL.
- Experience with data modeling, ETL/ELT, and data lifecycle management.
- Familiarity with event-driven systems (Kafka, Kinesis, or similar).
- Practical experience with cloud-native data workflows (AWS S3, Lambda, Glue, or similar).
- Solid understanding of structured, semi-structured, and unstructured data formats.
- Experience working with vector stores or retrieval-based pipelines.
- Familiarity with Lakehouse concepts (Delta/Iceberg/Hudi — or similar patterns).
- Understanding of data governance, cataloging, and lineage tracking.
- Exposure to ML data preparation or feature store design.
- Hands-on builder attitude: owns delivery from architecture to deployment.
- Collaborates across AI, backend, and DevOps teams.
- Provides mentorship through examples, not supervision.
Communicates clearly and pragmatically about technical trade-offs.
About
Emumba is a global engineering and consulting company with strengths in software development and an established AWS cloud practice focused on Data and GenAI. For 15 years, our teams across the US, the UAE, and Pakistan have earned trust through quality delivery and ownership of work. We look for people who value the culture they work in as much as the craft they bring to it.
Skills Required
- 6+ years of hands-on experience designing and building production data systems
- Strong Python coding skills
- Proficiency in SQL
- Experience with data modeling, ETL/ELT, and data lifecycle management
- Familiarity with event-driven systems such as Kafka or Kinesis
- Practical experience with cloud-native data workflows, including AWS S3, Lambda, or Glue
- Understanding of structured, semi-structured, and unstructured data formats
- Experience with vector stores or retrieval-based pipelines
- Familiarity with Lakehouse concepts such as Delta, Iceberg, or Hudi
- Understanding of data governance, cataloging, and lineage tracking
- Exposure to ML data preparation or feature store design
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The Company
What We Do
Emumba is a global software services company specializing in enterprise-grade software, AI systems, cloud, and DevOps solutions, enabling innovation for Fortune 500 customers.
