Honeywell Jobs

ISC Analytics Lead

ISC Analytics Lead for Honeywell International, Inc. (Charlotte, NC)

RESPONSIBILITIES:

•Working with product owner to identify the data requirements and design data pipeline using snowflake (for data warehouse) and data bricks (for advance analytics data pipeline).

•Develop data pipelines for ISC projects using the leveraging standards, guidelines, and data governance rules.

•Define and refine standards and guidelines for data pipeline development.

•Responsible for tuning the data pipeline for performance and scalability.

•Design and develop data models for machine data originated from the manufacturing plants.

•Design and implement data quality framework to detect the data quality issues before data is consumed for making business decisions.

•Support the development of the real time data pipeline for manufacturing IoT.

•Provide solutions for operations issues and participate in problem solving.

•Partner with IT support team on production processes, continuous improvement, and production deployments.

•Responsible for providing the status report for the project to the leadership team.

ADDITIONAL INFORMATION:

-Job Site: Charlotte, NC

-40 hours/week

-Eligible for Employee Referral Program: $1500

-If offered employment must have legal right to work in U.S. EOE.

YOU MUST HAVE:

Qualified applicants must have a Master’s degree or foreign equivalent in Data Science, Electronic Engineering, Electrical Engineering, Computer Science or related field and two (2) years of Data Engineering experience. Alternatively, employer will accept a Bachelor’s degree or foreign equivalent in stated fields and five (5) years of Data Engineering experience. Must possess one (1) year of experience in the following: hands on experience with MapReduce, Pig/Hive, or Spark; automation of data flow using NiFi or Airflow/Oozie; 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); writing complex SQL statements; working with cloud-based deployments; hands on experience in Cloudera, Hortonworks and/or Cloud (AWS EMR, Azure Data Lake Storage) based Hadoop distributions; building advanced analytics solutions with data from enterprise systems including: ERPs, CRMs, Marketing tools; dimensional modeling, data warehousing and data mining; machine learning solutions and data science methods promotion; and database performance management and API development. Up to 20% international and domestic travel is required. Telecommuting permitted up to two (2) times per week.

Honeywell 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.