Role Responsibilities:
Design end‑to‑end data architectures aligned with UDA standards
Build and optimize batch and near‑real‑time data pipelines
Implement Bronze / Silver / Gold data models and curated data products
Engineer solutions on AWS (S3, Glue, MWAA, Athena/Redshift) and GCP (GCS, BigQuery, Dataproc, Dataflow)
Apply data governance, quality, lineage, and security controls
Partner with business and analytics teams to translate requirements into data solutions
Contribute to reusable patterns, lighthouse initiatives, and platform modernization
Mentor junior engineers and drive engineering best practices

Minimum Requirements:
3+ years of experience in Data Engineering / Data Platforms
Robust hands‑on experience with AWS and GCP
Proficiency in PySpark, SQL, Python




Experience with Airflow / Cloud Composer / MWAA
Solid understanding of lakehouse architecture and data modeling
Experience working with enterprise business processes (Finance, Supply Chain, Sales, etc.)
Robust communication and stakeholder collaboration skills

Carrier is An Equal Prospect/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

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📌 Associate , Ai & Data Engineering Bengaluru
🏢 Carrier
📍 Bengaluru