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Advanced Data Engineer at Honeywell

, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

24 Jun, 26

Salary

0.0

Posted On

26 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, ETL Development, Database Administration, Azure Data Factory, Azure DW, Databricks, APIs, Python, SQL, PySpark, Snowflake, Agile Development Methodology, Data Governance, Data Quality, Data Pipelines, Data Warehouses

Industry

electrical;Appliances;and Electronics Manufacturing

Description

Advanced Data Engineer Location: Bangalore (Hybrid) Join a team that is elevating our strategy to drive advanced analytics and visualization tools across the Value Engineering COE. In this role, Advanced Data Engineer , you will design, implement, and manage the data architecture, systems, and processes to effectively collect, store, process and analyze high volume, high dimensional data to provide strategic insight into complex business problems. This will involve creating and maintaining scalable, efficient, and secure data pipelines, data warehouses, and data lakes. You need to ensure consistency in data quality and availability for analysis and reporting including compliance with data governance and security standards. Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.

Responsibilities

The Advanced Data Engineer will design, implement, and manage data architecture, systems, and processes to handle high volume, high dimensional data for strategic business insights. This includes creating and maintaining scalable, efficient, and secure data pipelines, data warehouses, and data lakes while ensuring data quality and compliance.