Honeywell Connected Enterprise (HCE) is the software division of Honeywell with a strategic focus on digitization, sustainability, and OT Cybersecurity SaaS offerings and solutions. Since its inception in 2018, HCE has pioneered intelligent operations through its flagship platform – Honeywell Forge, which unites real-time data across assets, people, and processes into a 360-degree system of record.
As a Sr Advanced Data Engineer, you will help deliver cutting-edge analytics solutions that directly support Honeywell's business success. You will be part of a global team of experts in software engineering, data science, AI, and industrial operations.
Key Responsibilities:
- Deliver contemporary analytics solutions for all Honeywell business groups and functions.
- Build strong relationships with leadership to deliver data solutions aligned with business needs.
- Develop solutions using Databricks, Hive, Hadoop, PostgreSQL, and other platforms.
- Identify and implement process improvements and automate repetitive tasks.
- Prioritize scalability, performance optimization, and process efficiency.
- Collaborate with a cross-functional team (scrum masters, product owners, data engineers, DevOps, etc.).
- Participate in full software development lifecycle from idea to production.
- Contribute to the development of new platforms using APIs, microservices, and cloud technologies.
You Must Have:
- Bachelor's degree in Computer Science, Engineering, Applied Mathematics, or related field.
- 8–11 years of data engineering experience.
- Experience developing and deploying complex big data ingestion jobs using Spark, Informatica BDM, Talend.
- At least 5 years of hands-on experience with Spark, Pig/Hive, and automation tools like NiFi or Airflow/Oozie.
- Experience processing large volumes of structured/unstructured data, including streaming real-time data (Kafka, Spark Streaming).
- Experience with Databricks, Cloudera, Hortonworks, or cloud-based Hadoop (AWS EMR, Azure Data Lake).
- Strong communication and articulation skills.
We Value:
- Minimum 4+ years of experience with NoSQL systems (HBase, Cassandra, MongoDB, etc.).
- Strong understanding of schema design and complex SQL development.
- Experience with cloud deployments and container orchestration (Kubernetes, Swarm).
- Experience with enterprise systems data (ERPs, CRMs, marketing tools).
- Proficiency in dimensional modeling, data warehousing, and data mining.
- Familiarity with CI/CD tools (Octopus, Bamboo) and Agile/Scrum practices.
- Experience with visualization tools (Tableau, Spotfire, QlikView) and web technologies (Angular.js, D3.js).
- Knowledge of database performance management and API development.
- Experience collaborating with remote/global teams.
- Ability to make timely, data-driven decisions in complex situations.
