Advanced Data Engineer GCP

Advanced Data Engineer (B3) - (ML/AI)

Position Description:

Honeywells Value Engineering (VE) and Component Engineering (CE) Center of Excellence (COE) is a dynamic collective of professionals dedicated to refining product development through innovative engineering and strategic component selection.

You will be part of Honeywells VE/CE CoE Advanced Tech this role as Sr 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

Key Responsibilities:

• Work in complex data science and analytics projects in support of the VECE organization
• Work with product owner to identify the data requirements and design/ maintain/ optimize data pipeline to ingest transform and load structured and unstructured data from various sources into the data warehouse or data lake
• Design and implement data models and schemas to support analytical and reporting requirements
• Collaborate with data scientists & analysts to define and structure data for effective analysis & reporting
• Develop and maintain ETL (Extract Transform Load) processes
• Administer optimize and manage databases data warehouses and data lakes to ensure performance reliability and scalability
• Enforce data governance policies standards and best practices to maintain data quality privacy and security
• Create and maintain comprehensive documentation for data architecture processes and systems
• Troubleshoot and resolve data-related problems and optimize system performance
• Partner with IT support team on production processes continuous improvement and production deployments

YOU MUST HAVE:

• 5 to 8 yearsof relevant experience in Data Engineering ETL Development Database Administration.
• Experience in Snowflake Oracle Big Query
• Experience in Data Modelling techniques including schema design for both rational and NoSQL databases
• Experience in Azure Databricks CI/CD & Dev Ops Process
• Experience in Google Cloud Azure CI/CD & Dev Ops Process
• Expert in scripting and querying languages such as Python SQL PySpark
• Experience with both Structured and Unstructured data
• Knowledge of Agile development methodology

WE VALUE

• Working with at least one NoSQL system (HBase Cassandra MongoDB)
• Knowledge of databases data warehouse platforms (Big Query Snowflake) and Cloud based tools.
• Experience in using data integration tools for ETL processes.
• Knowledge in cutting-edge packages such as SciKit TensorFlow Pytorch GPT PySpark Bit bucket etc.
• Ability to develop and communicate technical vision for projects and initiatives that can be understood customers and management.
• Proven mentoring ability to drive results and technical growth in peers.
• Effective communication skills (verbal written and presentation) for interacting with customers and peers.