Sr Advanced Data Engineer at Honeywell
Bengaluru, karnataka, India -
Full Time


Start Date

Immediate

Expiry Date

01 Jul, 26

Salary

0.0

Posted On

02 Apr, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data engineering, Hyperion Planning, Essbase, OneStream, Business rules, Calculation expertise, Excel, MDX, Report writing, Oracle EPM, Financial statement analysis, Communication skills, Data pipelines, Data architecture, Data integrity

Industry

Automation Machinery Manufacturing

Description
As a Senior Advanced Data Engineer here at Honeywell, you will play a crucial role in designing, developing, and optimizing data pipelines and architectures. You will work closely with cross-functional teams to understand data requirements and ensure the efficient handling and analysis of large volumes of data. Your expertise in data engineering will be key in driving data-driven decision-making and improving operational efficiency within the organization. In this role, you will impact the business by developing robust data solutions, ensuring data quality and integrity, and enabling advanced analytics capabilities. Your work will support various business functions, leading to improved decision-making, cost savings, and enhanced customer satisfaction. At Honeywell, our people leaders play a critical role in developing and supporting our employees to help them perform at their best and drive change across the company. Help to build a strong, diverse team by recruiting talent, identifying, and developing successors, driving retention and engagement, and fostering an inclusive culture. 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
You will design, develop, and optimize data pipelines and architectures to ensure efficient data handling and analysis. Additionally, you will collaborate with cross-functional teams to drive data-driven decision-making and improve operational efficiency.
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