Lead Data Engineer

Description

The Data Engineer will be responsible for developing and implementing data-driven solutions and products that optimize operations enhance efficiency and drive growth for Honeywells Industrial customers. This role focuses on building AI data products using IoT data handling large-scale streaming and telemetry data and deploying data pipelines for AI products.

Scope : The role involves collaborating with stakeholders data scientists and product teams to create data products that serve analytics solutions and AI / ML needs. It includes implementing data models data pipelines which integrates diverse data sources and building analytic solutions leveraging AI

Challenges : The Data Engineer will face challenges such as managing and processing huge volumes of streaming data ensuring data quality and implementing efficient solutions while working in a fast-paced environment with ambiguous requirements.

Opportunities : This role offers the opportunity to work on cutting-edge AI projects leveraging best in class data platforms develop innovative data products that transform of industrial operations. Professional Growth opportunity while working alongside a global team of data engineers and ML experts to drive manufacturing innovation and operational excellence .

Joining Honeywells data engineering team means being part of a high-performing global team that delivers innovative AI / ML data products for industrial customers. You will have the opportunity to work on challenging projects leverage the latest AI technologies and make a significant impact on optimizing operations and driving growth for our customers. The role offers professional growth collaboration with experts and the chance to be at the forefront of AI-driven industrial solutions.

Responsibilities

Key Responsibilities

• Lead the design development and implementation of data engineering solutions
• Collaborate with cross-functional teams to understand data requirements and deliver solutions
• Design and implement data pipelines and ETL processes
• Ensure the performance availability and security of data platforms

Qualifications

US PERSON REQUIREMENTS :

Due to compliance with US export control laws and regulations candidate must be a US Person which is defined as a US citizen US permanent resident or have protected status In the US under asylum or refugee status or have the ability to obtain an export authorization.

Required Competencies :

Work Experience :

Preferred Competencies :

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full-Time

Experience : years

Vacancy : 1