Lead Data Engineer - Architect - req346677

Lead Data Engineer - Architect – req346677 https://careers.honeywell.com/us/en/job/req346677/ 715 Peachtree Street, N.E., Atlanta, GA 30308 – preferred location 1944 E Sky Harbor Circle, Phoenix, AZ 85034 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 leading 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. JOB ACTIVITIES Deliver contemporary analytics solutions for all Honeywell business groups and functions. Develop solutions on various Database systems via Databricks, Hive, Hadoop, PostgreSQL, etc. working with Big Data, IoT data, SQL, Azure, AWS. Drive transformation of legacy solutions to contemporary solutions using the Cloud PaaS, IaaS and SaaS Create reusable cloud services frameworks for cloud application adoption Work with scrum masters, product owners, data architects, data engineers, data scientists and DevOps Create a new platform using your experience of APIs, microservices, and platform development Build products from the idea phase through launch and beyond. Drive application cloud adoption goals in collaboration with Database, Data Center and Cloud Infrastructure. Define and govern cloud architectural standards/principles, global product security guidelines and cloud governance. Identify and implement process improvements and automate processes where possible Ensure cloud offerings are highly available, redundant, fault tolerant, diverse, and affordable. Conduct POCs and Cloud placement/Cloud fit studies to help make better business decisions Diagnose and resolve Cloud Native technical application deployment issues Facilitate Cloud technology decisions within the organization and drive "Cloud First" strategy. YOU MUST HAVE 8 years of data engineering experience 2+ years working experience with Microsoft Azure 4 years of experience using Azure Storage (ADLS Gen2), Private links, private endpoints 4 years of experience using Kubernetes and Docker 4 years of design, development and deployment of applications to process very large amounts of data - structured and unstructured 4 years of experience hands-on with Spark, Hive/ Databricks/ Cloudera 4+ years of experience in writing complex SQL statements Bachelor's degree from an accredited college or university WE VALUE Azure certification – Azure administrator associate Experience in design, development and deployment of applications to process very large amounts of data - structured and unstructured Hands on experience in Databricks, Cloudera, Hortonworks and/or Cloud (AWS EMR, Azure Data Lake Storage) based Hadoop distributions Experience with Azure components like: Virtual Machines, Azure PaaS database services, VNet, Subnet, Express Route, Azure DNS, Application Insights, Azure Active Directory/ Role Based Access; Azure KeyVault, Azure Web Apps, Private links, private endpoints Strengths using Kubernetes and Docker; cloud-based deployments. Understanding of containers & container orchestration (Swarm or Kubernetes) Experience in working with NoSQL system (HBase, Cassandra, MongoDB, etc.) Led/guided/mentored a team of data engineers on various big data technologies. Experience working with in Agile Methodologies and Scrum Experience working with remote and global teams and cross team collaboration Experience with one or more visualization software such as Tableau, Qlikview, Angular js, D3.js Experience with dimensional modeling, data warehousing and data mining Good understanding of branching, build, deployment, CI/CD methodologies such as Octopus and Bamboo Understanding of best-in-class model and data configuration and development processes