Data Engineer – Specialist

Carrier — Ecospace Campus 3A, 4th Floor, Outer Ring Road, Bellandur, Bengaluru- 560103

Role: Data Engineer - Specialist Location: Bangalore, India Full/ Part-time: Full time About Carrier Carrier Global Corporation, global leader in intelligent climate and energy solutions, is committed to creating innovations that bring comfort, safety and sustainability to life. Through cutting-edge advancements in climate solutions such as temperature control, air quality and transportation, we improve lives, empower critical industries and ensure safe transport of food, life-saving medicines and more. Since inventing modern air conditioning in 1902, we lead with purpose: enhancing the lives we live and the world we share. We continue to lead because of our world-class, inclusive workforce that puts the customer at the center of everything we do. For more information, visit corporate.carrier.com or follow Carrier on social media at @Carrier. About the role: The Data Engineer is a highly technical, hands-on senior individual contributor responsible for building scalable, enterprise-grade data pipelines and reusable data products across Snowflake, AWS, and GCP platforms. The role demands advanced skills in SQL and Python, hands-on data modelling, and experience with data governance tools such as Ataccama and Atlan. The engineer will actively build, optimise, debug, and manage production-scale data pipelines, integrating over 70 ERP systems (SAP ECC, Atlas, JDE, Baan, etc.). The ideal candidate is passionate about deep data engagement, solving complex modelling problems, and writing high-performance code at scale. Key Responsibilities: Data Engineering & Pipeline Development Design and build scalable ingestion, transformation, and serving pipelines. Develop highly optimised, advanced SQL transformations (heavy daily usage). Build Python-based data processing frameworks and reusable components. Work extensively across Snowflake, AWS, and GCP ecosystems. Handle ingestion and harmonisation from 70+ ERP systems. Optimise large-scale joins, aggregations, and comple

View on HireSetu