Advanced Data Engineer - GCP

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

Position Description: 

Honeywell's 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 Honeywell's VE/CE CoE Advanced Tech team. In 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 years of 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.