Data Engineer II
Responsibilities
You will be part of a team that delivers contemporary analytics solutions for the Information Management & Analytics function at Honeywell.
You will build strong relationships with leadership to effectively deliver contemporary data analytics solutions and contribute directly to business success.
You will develop solutions on data warehouse systems eco-system viz. Snowflake, IICS, Airflow etc.
You will identify and implement process improvements and if you don’t like to do the same thing twice, you will automate where possible.
You are always keeping an eye on scalability, optimization, and process. You have worked with Snowflake, IICS before.
You will work on a team including scrum masters, product owners, data architects, peer data engineers / analyst, data scientists and DevOps.
- You and your team collaborate to build products from the idea phase through launch and beyond. The software you write makes it to production in sprints.
- Your team will be working on creating a new platform using your experience of APIs, microservices, and platform development.
- CITIZENSHIP REQUIREMENT
Must be a US Citizen due to contractual requirements.
YOU MUST HAVE
- Bachelor’s degree from an accredited institution in a technical discipline such as the sciences, technology, engineering or mathematics
- 2-5 years of experience
- Have 1 2 years of data engineering experience in any data warehousing platform. Preferably Snowflake data platform and IICS (Informatica Intelligent Cloud Services).
- Expert data warehousing concepts.
- Expert in SQL and ETL
- Python programming experience.
- Experience in developing end to end data pipelines ., Ingestion, transformation, storage
- Experience in leading data engineers to provide best practices in implementing end to end pipelines.
WE VALUE
- Degree in in computer science, Engineering or related field
- Having developed and deployed complex big data ingestion jobs in IICS (or other ELT tool) bringing prototypes to production on Snowflake (or any data warehouse platform).
- Experience in building advanced analytics solutions with data from enterprise systems like ERPs, CRMs, Marketing tools etc.
- Have worked in Snowflake data platform in designing / implementing the data models and SQL based transformations.
- Experience in developing and building applications to process very large amounts of data (structured and unstructured), including streaming real-time data.
- Experience in writing complex SQL statements and debugging / improving performance of SQL statements using query profilers
- Experience in working with cloud-based deployments. Understanding of containers (Docker) & container orchestration (Swarm or Kubernetes).
- Good understanding of branching, build, deployment, CI / CD methodologies such as Octopus and Bamboo
- Experience working with in Agile Methodologies and Scrum Knowledge of software best practices, like Test-Driven Development (TDD)
- Effective communication skills and succinct articulation
- Experience with dimensional modeling, data warehousing and data mining
- Experience with machine learning solutions and data science methods promotion
- Database performance management and API development
- Technology upgrade oversight
- Experience with visualization software, Tableau or Power BI preferred but not necessary.
- Understanding of best-in-class model and data configuration and development processes
- Experience working with remote and global teams and cross team collaboration.
- Consistently makes timely decisions even in the face of complexity, balancing systematic analysis with decisiveness
- Some experience in software development : designing, development, and debugging.
- Knowledge of .Net, C#, Java, Docker, Web Services, SOAP, REST, Azure ARM, PowerShell
- Solid understanding of software development fundamentals
- Knowledge of contemporary Open-Source development tools and automated testing frameworks
- Some experience with software and system modeling
- Passion for new technologies and innovation
- Ability to multi-task and stay organized in a dynamic work environment.
- Effectively demonstrates ability to deliver on complex situations or problems without guidance or supervision.
- Consistently makes timely decisions even in the face of complexity, balancing systematic analysis with decisiveness
ABOUT HONEYWELL
Honeywell International Inc. (Nasdaq : HON) invents and commercializes technologies that address some of the world’s most critical demands around energy, safety, security, air travel, productivity, and global urbanization.
We are a leading software-industrial company dedicated to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high-growth businesses in broad-based, attractive industrial end markets.
Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe.