Engineering Services

Build data and AI systems
at enterprise scale

Join Zetamicron's engineering services practice. These roles place you on enterprise client engagements — production data platforms, large-scale pipelines, and applied AI — working onsite with the teams that depend on them.

3Open roles
1-dayReply to every application
OnsiteBengaluru & Hyderabad

Open positions

3 roles, all full-time and onsite. Expand any role for the full brief.

About these roles. All three sit in our engineering services practice — you would be working on enterprise client engagements, not on our own products (NexureAI and Dexara). If building data and AI systems for large organisations is the work you want, these are for you.

Senior Data EngineerPython, PySpark & GCP

6 – 10 yearsOnsite — Bengaluru, HyderabadFull-time

Design, develop, and maintain scalable ETL/ELT pipelines using Python and PySpark, handling large volumes of structured and unstructured data across cloud-native data services.

PythonPySparkSQLETL/ELTAWSAzureGCP
Roles & responsibilities
  • Design, develop, and maintain scalable ETL/ELT pipelines using Python and PySpark.
  • Build and optimize data processing workflows handling large volumes of structured and unstructured data.
  • Develop complex SQL queries, stored procedures, views, and data transformation logic.
  • Implement data ingestion, cleansing, validation, and enrichment processes.
  • Work with cloud-native data services on AWS, Azure, or GCP.
  • Optimize Spark jobs for performance, scalability, and cost efficiency.
  • Collaborate with business stakeholders, analysts, and architects to understand data requirements.
  • Implement data quality checks, monitoring, and alerting mechanisms.
  • Support CI/CD deployments and version control using Git-based repositories.
  • Participate in Agile/Scrum ceremonies and contribute to solution design discussions.
  • Troubleshoot production issues and provide performance tuning recommendations.

PySpark Data Engineerwith GCP

5 – 10 yearsOnsite — Bengaluru, HyderabadFull-time

Designing, implementing, and optimizing solutions using GCP services, application development, automation, and scripting with Python.

Google Cloud PlatformPythonPySpark
Roles & responsibilities
  • Design, implement, and optimize solutions using Google Cloud Platform services.
  • Build and maintain data applications using Python and PySpark.
  • Automate workflows and develop scripting solutions in Python.
  • Optimize existing GCP-based pipelines for performance and cost.

GenAI EngineerML Engineer / ML Developer

4 – 10 yearsOnsite — BengaluruFull-time

Collaborate with cross-functional teams to design and deliver high-performance AI models, integrate generative AI solutions, and own the ML Operations CI/CD pipeline.

Generative AIPrompt engineeringRAGLLMsPythonSoftware design
Roles & responsibilities
  • Collaborate with cross-functional teams to design and deliver high-performance AI models.
  • Integrate generative AI solutions into production applications.
  • Develop and maintain the ML Operations CI/CD pipeline.
  • Train and optimize AI models for accuracy and efficiency.
  • Implement complex real-time data and AI/ML applications.
  • Create ML/AI models for business teams.
  • Oversee the lifecycle of algorithm development.
  • Evaluate ML algorithms and recommend the right approach.
  • Serve as an internal AI/ML resource across the organisation.

Apply

One form for every role. We read every application and reply within one business day.

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