Advanced Cyber Sec Archt/Engr

Key Skills

Big Data Technology, Cyber Security, Data science techniques, Databricks, DevSecOps, Effective communication skills, ETL frameworks, Lakehouse, Machine learning techniques, Python Programming, SPARK Programming, SQL

Job Description

When you join Honeywell, you become a member of our global team of thinkers, innovators, dreamers and doers who make the things that make the future.

As part of the Honeywell Smart Energy software development team, the Cloud Data Engineer will work with software developers, data scientists, architects, Customer Support leaders, and Offering Management stakeholders to create new cloud native offerings that leverage multiple internal and external cloud providers and services. As an expert with hands-on experience building data lakes, data-focused cloud applications, and secure cloud offerings the Cloud Data Engineer will be part of an Agile development team and use this expertise to de-risk decision making and rapidly build and test applications, data pipelines, and machine learning models.

Be part of a team that designs, develops and integrates highly complex software functions within Honeywell Smart Energy. You will use your experience and judgment to plan and accomplish goals. You will also generate innovative solutions in work situations; trying different and novel ways to deal with problems and opportunities. This is a hands-on position on a green field project supported by a software development and data science team with plenty of domain experience. The ideal candidate will focus on design, delivery, and execution while balancing speed with wise planning, judgement, and risk management. This is a design and development position, not an operational position.

KEY RESPONSIBILITIES

• Analysis of data use cases to inform design.
• Data pipeline design and implementation.
• Software architecture and coding.
• Automated testing.
• Feature Definition.
• Ability to code in Python and SQL.
• Performance analysis of data pipelines.

YOU MUST HAVE

• B.S. or equivalent degree in Engineering or Computer Science.
• 2 years of experience creating applications in public cloud environments.
• 2 years software design and development experience.

WE VALUE

• Big data handling expertise – data ingestion, storage, batch, streaming analytics and data processing.
• Experience with designing for cost management and cost reduction in public cloud environments
• Experience with Azure, Azure Databricks, Apache Spark, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Apache Spark for Azure Synapse, Azure HDInsight
• Experience with cybersecurity concerns in cloud systems including ingress, storage, and egress.
• Experience with Kubernetes, helm, docker, containerization principles and micro-service architecture foundations.
• Familiarity with cloud identity management solutions.
• Experience handling PII data in cloud environments
• Experience working with DevSecOps teams to manage deployments
• Experience with continuous integration or continuous delivery processes for cloud-native software
• Experience with data modelling for warehousing
• Experience with Data Warehouse and/or Lake House architectures
• Experience with ETL processes
• Knowledge of software configuration management and change management practices
• Diverse and global teaming and collaboration
• Effective communicator
• Wide degree of creativity and latitude
• Individuals who are self-motivated and able to work with little supervision, who consistently take the initiative to get things done, do things before being asked by others or forced to by events.
• Ability to consistently make timely decisions even in the face of complexity, balancing systematic analysis with decisiveness.

  Can quickly analyze, incorporate and apply new information and concepts.