Lead Data Engineer

Honeywell Connected Enterprise (HCE) is the software division of Honeywell with strategic focus on digitization, sustainability, and OT Cybersecurity SaaS offerings and solutions. HCE was established to leverage Honeywell s domain expertise and lead the transition into a cutting-edge industrial software company. Since our inception in 2018, HCE established the category of intelligent operations and built a new platform born out of decades of operational data and insights, uniting real-time data across assets, people, and processes into a system of record for a 360-degree view. This is our flagship offering - Honeywell Forge. We are a global team of thousands of innovators with expertise spanning industrial operations, software engineering, data science, artificial intelligence, and process engineering. We are paving the way for our customers to grow responsibly. We believe the future is what we make it. As a Honeywell Futureshaper, you are a part of something bigger. You can work with highly capable people to make the world a better place and become the best you. After all, we are not imagining the future; we re building it.

4 years of experience in building advanced analytics solutions with data from enterprise systems like ERPs(SAP, Oracle, etc. ), RDBMS, CRMs, Marketing & Logistics tools etc.

4 years of hands on experience with Spark, Pig/hive etc. and automation of data flows using Informatica BDM/DEI, NiFi and/or Airflow/Oozie.

4 years of experience in building advanced analytics solutions with data from enterprise systems like ERPs(SAP, Oracle, etc. ), RDBMS, CRMs, Marketing & Logistics tools etc.

4 years of hands on experience with Spark, Pig/hive etc. and automation of data flows using Informatica BDM/DEI, NiFi and/or Airflow/Oozie.

As a Lead Data Engineer, you will be part of a team that delivers contemporary analytics solutions for all Honeywell business groups and functions. You will build strong relationships with leadership to effectively deliver contemporary data analytics solutions & contribute directly to business success.

You will develop solutions on various Database systems viz. Databricks, Snowflake, Hive, Hadoop, PostgreSQL, etc.

You will identify and implement process improvements - and you don t like to the same thing twice so you will automate it if you can.

You are always keeping an eye on scalability, optimization, and process. You have worked with Big Data before, IoT data, SAP, SQL, Azure, AWS and a bunch of other acronyms.

You will work on a team including scrum masters, product owners, data architects, data engineers/designers, 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 couple of sprints.

Your team will be working on creating a new platform using your experience of APIs, microservices, and platform development.

You Must Have

Bachelors or Master s degree in Computer Science, Engineering, Applied Mathematics or related field

12+ years of data engineering, data design and/or enterprise data management & analytics experience

Should be able to architect large enterprise analytics projects with optimal solutions on the Bigdata platform.

Should have designed, developed and deployed complex big data ingestion jobs with contemporary data ingestion tools like Spark, Informatica Power Center & BDM on Databricks/Hadoop/NoSQL/MPP platforms.

Experience with dimensional modeling, data warehousing and data miningA Job posting does not exist for this global job code, please work with your HRG to develop one

As a Lead Data Engineer, you will be part of a team that delivers contemporary analytics solutions for all Honeywell business groups and functions. You will build strong relationships with leadership to effectively deliver contemporary data analytics solutions & contribute directly to business success.

You will develop solutions on various Database systems viz. Databricks, Snowflake, Hive, Hadoop, PostgreSQL, etc.

You will identify and implement process improvements - and you don t like to the same thing twice so you will automate it if you can.

You are always keeping an eye on scalability, optimization, and process. You have worked with Big Data before, IoT data, SAP, SQL, Azure, AWS and a bunch of other acronyms.

You will work on a team including scrum masters, product owners, data architects, data engineers/designers, 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 couple of sprints.

Your team will be working on creating a new platform using your experience of APIs, microservices, and platform development.

You Must Have

Bachelors or Master s degree in Computer Science, Engineering, Applied Mathematics or related field

12+ years of data engineering, data design and/or enterprise data management & analytics experience

Should be able to architect large enterprise analytics projects with optimal solutions on the Bigdata platform.

Should have designed, developed and deployed complex big data ingestion jobs with contemporary data ingestion tools like Spark, Informatica Power Center & BDM on Databricks/Hadoop/NoSQL/MPP platforms.

Experience with dimensional modeling, data warehousing and data miningA Job posting does not exist for this global job code, please work with your HRG to develop one