Requirements
Job Description Summary
Make Your Mark. Shape Your Future.
It takes great people to achieve greatness. People with a sense of purpose and integrity. People with a relentless pursuit of excellence. People who care about making things better For Those Who Make The World™. Sound like you? Join our top-notch team of 54,000+ professionals in 60 countries who are making their mark on some of the world’s most beloved brands.
About You
We are seeking a highly motivated Senior Data Engineer to join the Power Tools Construction Technology team. If you are a results-driven individual who thrives in a fast-paced and dynamic environment, with a passion for developing and managing world-class data platforms, then we want to hear from you.
PTG Platforming Investment
What you’ll be working on
Things you will do
We are a small and nimble team, so you’ll likely get to experience and participate on many projects. However, you should broadly expect the following set of responsibilities:
-
Using judgement and expertise to define [responsibility]
-
Collaborate with cross-functional teams, including product, hardware engineering, design, data science, and business stakeholders, to ensure successful delivery of product features.
-
Navigate complex problems and determine resolutions against current processes and direction based on software product understanding and expertise.
Your Professional Experience
As an ideal candidate you would have following key qualifications:
-
5+ years of hands-on experience of building and maintaining large scale ETL pipelines and in-depth knowledge of big data frameworks and architectures including Spark, Hadoop/MapReduce, Airflow, Streaming (Kafka or similar message bus).
-
A solid experience and understanding of architecting, designing, and operationalization of large-scale data and analytics solutions on cloud Data Warehouse such as Snowflake, Google BigQuery, or AWS Redshift is a must.
-
Lead cross-functional technical discussions that drive decisions and actionable implementation approaches.
-
Perform POCs on new technology, architecture patterns.
-
Excellent SQL knowledge and hands-on experience with the ability to create efficient data models (applied to data warehousing in particular)
-
Experience with automating end to end data lifecycle on the big data ecosystem.
-
Experience with managing automated schema evolution within data pipelines.
-
Prior experience with connected devices/IoT-based applications , Construction Tech is a plus.
-
Experience in leading & mentoring junior team members