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.)
- Strong communication and stakeholder collaboration skills

Carrier is An Equal Opportunity/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