Deliver business value through Right and Fast partnership
Sr. Advance Software Engineer
Honeywell is rapidly transforming into a Software Industrial company and we are developing and launching a comprehensive roadmap of critically connected industry-specific solutions that will generate an increasingly significant multi-Billion-dollar portion of the company’s revenue in the next 5 years.
Over half of our engineers globally are developing software to augment our extensive and fast growing Connected technology and services portfolio using the Honeywell Forge™ platform.
The position of Sr Advanced Software Engineer is responsible for working with Honeywell Software Engineering teams in an Agile environment to coordinate design, develop ( writing code ), manage and / or maintain our key products in the Connected Safety.
Leads and participates in the SDLC activities related to the design, development and maintenance of In-house developed cloud based metrics management applications suite.
A passion for quality with a test-driven development approach and eye for creating automated test scripts
Experience with Development Tools for CI / CD, Unit and Integration testing, Automation and Orchestration, Python, JIRA, Confluence, Grafana, ADLS, Databricks, Rest API, InfluxDB and Tableau.
Drive end to end testing of application at all levels including non-functional testing (Integration / Acceptance / Performance / Scalability / Reliability)
Partner with other HCE teams specifically HCE leadership to understand proper requirements. Translating into technology solutions are created in line with HCE Metrics dashboard framework
Improve speed to market and application quality by utilizing testing best practices, release automation, component releases and release strategies.
Be a technology evangelist that supports other team members to adopting and implementing technology to improve the application.
You Must Have
BTech / BE in Computer Science / Engineering or MCA
Minimum of 6 years’ of experience in software development including requirement analysis, object oriented design, implementation, testing and support
Good knowledge in SOLID design principles & design patterns.
Good working knowledge of Continuous Integration and Continuous Delivery Processes
4 to 5 years of experience in programming languages Python, Grafana, InfluxDB, ADLS, Databricks and Tableau.
Has experience in designing Data engineering applications leveraging Azure technologies.
Has experience in designing and development of applications leveraging Data engineering and ML techniques.
Has experience in designing end to end Python based data engineering and ML solutions.
Has experience in designing & developing Data engineering applications with heterogenous data sources like JIRA, Confluence, ERP and SQL and TSDB like InfluxDB.
4 to 5 yrs. Experience in Cloud SaaS / PaaS / IaaS, good hands on in various features - Azure knowledge, ADLS, Databricks
3 to 4 yrs. Of experience in Time series DB such as InfluxDB and worked in ADLS.
Experience in writing Unit testcases
Experience working in an agile environment with full stack teams. (4 to 5 years)
Experience with web APIs, Web application development.
Experience with data structure libraries
Familiarity with modern front-end build pipelines and tools
Ability to understand business requirements and translate them into technical requirements
A knack for benchmarking and optimization
Technically competent / design and development of Cloud based solutions specifically MS Azure.
Team player that puts team first, willing to make the difficult decision and have the difficult conversation while providing clear technical recommendations to leadership that is best for the long term.
Demonstrated ability to effectively establish and maintain working relationships across disciplines and across the organization
Excellent Communications skills, good team player and have good analytical capabilities
2-3 yrs. In Cloud based data engineering solution development experience using Python, Grafana and Tableau, ADLS, Databricks.
Experience in writing Unit testcases
Good working knowledge of Continuous Integration and Continuous Delivery Tools (BitBucket, JIRA, Confluence, Octopus, and Openshift)
Good working knowledge of Continuous Integration and Continuous Delivery Practices
Ability to work within a Team with strong analytical, problem-solving and communication skills
Flexible and adaptable; able to work in ambiguous situations.
Experience working within an Agile team
Understanding of Agile practices and ability to use tools to enable the delivery of high quality code
Ability to influence others and move toward a common vision or goal.
Able to work effectively at all levels in an organization.