Sr Data Engineer

Honeywell
Honeywell

Job Overview

Honeywell is charging into the Industrial IoT revolution with the establishment of Honeywell Connected Enterprise (HCE), building on our heritage of invention and deep, on-the-ground industry expertise. HCE is the top tier industrial disruptor, building and connecting software solutions to streamline and centralize the assets, people and processes that help our customers make smarter, more accurate business decisions. Moving at the speed of software, we are creating, innovating and delivering solutions fast, challenging the way things have always been done, piloting new ways for all of us to work, and expecting our successes to set new standards for our customers and for Honeywell.Our team is growing, and we are looking for a Lead Data Engineer, that will lead change that brings value to our customers, partners, and shareholders through the creation of innovative software and data-driven products and services. Working in collaboration with strategic business partners to discover opportunities for new growth and efficiencies predicated on data analytics and with customers to identify their high value business questions and work through their data to search for answers. As a Lead Data Engineer, you will be part of a team of scrum masters, product owners, data architects, data engineers, data scientists and DevOps that deliver contemporary analytics solutions for all Honeywell business groups and functions.Are you ready to become a #futureshaper?KEY RESPONSIBILITIES- Develop solutions on various Database systems such as viz, Hive, Hadoop, PostgreSQL, etc.- Identify and implement process improvements where automation may be applied- Daily work with Big Data; IoT data, SQL, Azure, AWS, etc.- Team collaboration to build products throughout the SDLC; writing software that moves quickly through an agile environment- Crafting new platforms using your experience of APIs, microservices and platform developmentYOU MUST HAVE+ Must Be a US Citizen or a permanent resident due to contractual requirements+ Bachelor’s degree+ 9 years experience in the Information Technology arena+ 5 years’ experience data engineering experience+ 3 years of with Hive, Spark, etc. and automation of data flow using workflow schedulers such as NiFi, Airflow, Oozie, etc+ 3 years’ experience in Hadoop distributions of Cloudera/Hortonworks running on AWS/Azure CloudWE VALUE+ Bachelor or Master degree in Computer Science, Engineering, Applied Mathematics or related field+ Leadership and mentor a team of data engineers/architects on various technologies+ Experience with business function processes and data (i.e., ISC, Operations, Finance, Sales, Marketing)+ Experience developing and building applications to process very large amounts of data (structured and unstructured), including streaming real-time data; Spark, R/Python/Scala, Kafka or Spark streaming, etc.+ Design, develop and deploy complex big data ingestion jobs in either Talend/Informatica BDM/Other ingestion tool bringing prototypes to production on Hadoop/NoSQL/MPP platforms+ Understanding of containers & container orchestration (Swarm or Kubernetes) in cloud-based environments+ Experience working within Agile Methodologies+ Understanding of branching, build, deployment, CI/CD methodologies such as Octopus and Bamboo+ Experience in working with at least one NoSQL system; HBase, Cassandra, MongoDB etc.+ In-depth knowledge of schema design for effective requirement gatheringHoneywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.

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