- As Director Data Engineering, you will setup a high-performing global team that delivers contemporary data lake and data analytics solutions for all Honeywell business groups and functions.
- You will coach and lead teams to build, configure, and deploy data models and data pipelines to integrate data from various sources to deliver clean, reliable, and high-quality data assets
- You will own the quality of the data ingested and treat data as a product
- Build data products in finance domain that are reusable across the enterprise
- You are curious about the data, you have a knack of exploring and analyzing data to gain the business understanding, establish data quality, summarize results, and communicate to others
- You will develop solutions using various technologies like Spark, Databricks, Hive, ADLS, PostgreSQL on cloud.
- The software you write is reusable, maintainable and makes it to production in couple of sprints.
- You will work with a team of scrum masters, product owners, data architects, and data scientists to build products from the idea phase through launch and beyond
- You will be responsible for Database systems development leading teams to deliver Database design requirements, Data modeling, Manage database performance, Database systems support, Support Machine learning solutions
- Ensure Cross team collaboration and nurture adoption of data products across the enterprise
- 8-10 years of data engineering, business intelligence experience
- 3+ years of familiarity with BI/DW design principles and Dimensional modelling etc
- Experience with SAP, SFDC or other enterprise applications that include functional and technical knowledge of the application data models and data domains
- Experience in building analytics solutions using data from ERP, CRM enterprise systems like SAP, SFDC etc.
- Experience with exploring data using visualization tools such as Tableau and Power BI
- Experience in working on analytics projects with Agile and Scrum Methodologies
- Experience in working with remote and global teams and cross team collaboration
- Good understanding of branching, build, deployment, CI/CD methodologies such as Octopus and Bamboo
- Working knowledge of schema design with NoSQL/Graph systems like Neo4J, MongoDB etc.
- Understanding of best-in-class model and data configuration and development processes
- Additional years of industry experience in leading data engineering
- Experience in design and deployment of data products in Databricks (Datalake) and Snowflake (Data Warehouse environments)
- Experience with building applications to process large data sets- structured and unstructured
- Programming experience with Scala or PySpark on distributed computing platforms like Databricks
- Experience in writing complex SQL queries across large datasets
- Experience using Azure cloud-based deployments
- Bachelor's degree in STEM
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Director of Data Engineering - Atlanta, United States - Honeywell
![Honeywell background](https://contents.bebee.com/companies/us/honeywell/background-czYC3.png)
Description
Responsibilities
:YOU MUST HAVE:
WE VALUE: