Role: Data Engineer - Specialist
Location: Hyderabad / Bangalore
Full/ Part-time: Full time

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Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing recent technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do.
About the Role:

As a Specialist Data Engineer, you will design and build scalable, reusable, and governed data pipelines and curated datasets on an AWS-based lakehouse architecture. You will help evolve a transactional lakehouse using open table formats (e.g., Apache Iceberg) and implement engineering standards that keep the platform interoperable across query engines and cloud providers.
You’ll work across batch and streaming, contribute to a medallion (raw/silver/gold) pattern, and ensure datasets are discoverable, trustworthy,



and platform-agnostic through metadata, lineage, and governance integration.

Key Responsibilities:
1) Data Pipeline & Lakehouse Engineering
- Design and implement robust, reusable data pipelines for batch and streaming use cases using AWS-native services (e.g., S3, Glue, Kinesis) and orchestration tools (e.g., Airflow) where applicable.
- Build and standardize medallion-layered ingestion and transformation patterns (raw → silver → gold) as a repeatable engineering approach.
- Develop and optimize Iceberg (or similar open table format) datasets with strong practices for schema evolution, partitioning, and performance for multi-engine consumption.

2) Open Standards, Interoperability & Cloud-Agnostic Delivery
- Apply open standards to reduce lock-in by designing storage and metadata layers that work across engines (e.g., Athena/Trino/EMR/Redshift/Snowflake/Databricks depending on enterprise choices).
- Contribute to ent

📌 Data Engineer – Specialist (Bengaluru)
🏢 Carrier
📍 Bengaluru