Data Engineer-Senior Software Engineer

Overview

Build and deliver cloud-native data solutions and AI/ML-powered applications on Google Cloud Platform. The role focuses on production-grade data pipelines, applied AI, and reliable data platform engineering.

What you'll do

• Design and maintain GCP-based data pipelines.
• Build and deploy AI/ML models and data products.
• Develop data transformations with PySpark, SQL, and Python.
• Operate CI/CD, automated deployments, and cloud monitoring.
• Perform code reviews and maintain data quality.
• Investigate data issues and implement durable solutions.
• Support analytics, reporting, and stakeholder data requirements.

What you'll need

• 4–7 years of overall experience, including 3+ years in data engineering or cloud AI.
• Graduate degree in Computer Science, Engineering, or equivalent.
• Hands-on experience with BigQuery, Vertex AI, Dataflow, and Dataproc.
• Experience with Cloud Composer, Cloud Storage, Pub/Sub, and Bigtable.
• Experience operationalizing AI/ML models on GCP.
• Proficiency in Python and SQL, with familiarity with PySpark.
• Understanding of batch, micro-batch, and streaming pipeline architectures.

Nice to have

• Experience with LLM integration or Generative AI on GCP.
• Familiarity with Dataplex, data governance, and data lineage.
• Exposure to dbt, enterprise integration patterns, or event-driven architectures.
• Experience with Looker or Power BI.

Details

• Location: Hyderabad, Telangana, India.