Job
Description
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 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.
