AddressPosition Description:
The Data Engineer will be a critical part of our team, focusing on developing, implementing, and optimizing cloud data storage solutions. You will collaborate with various teams and external partners to ensure the delivery of high-quality data solutions that align with business objectives. This role requires a blend of technical expertise, collaboration, and innovation to support near real-time analytics, build data products, and ensure data quality and availability. • Collaborate with the Manufacturing & Quality Analytics Team, IT, Data Tech, and external solution partners to develop and deliver the Data Factory. • Contribute to data standards, interoperability, quality, and availability to support GDI&A goals. • Design and implement Data Engineering and streaming solutions for real-time analytics. • Build analytical model objects and data products to support scalable growth and accelerate business value delivery. • Develop data pipelines for cloud solutions, focusing on IIOT & Quality projects. • Master various data sources and contribute to the creation of the Data Discovery Hub. • Perform ETL activities and assist with customer inquiries and incident resolution. • Lead integration projects and liaise with business customers on status updates. • Optimize code design within/across teams for improved performance.
Skills Required:
- Google Cloud Platform - Data Engineering - Data Warehousing - Data Modeling - RDBMS - SQL - Python - ETL
Skills Preferred:
- PubSub - Data Form - Data Flow - DBT - Airflow - Astronomer - Kafka
Experience Required:
• 3+ Years of experience with Data Engineering • 3+ years of experience with data warehousing. • 3+ years of experience with Google Cloud Platform, RDBMS, SQL, Hadoop Ecosystem. • 2+ years of experience with Python, Apache Spark. • 2+ years of experience in tuning and query optimization.
Experience Preferred:
• Familiarity with GCP tools (Big Query, Cloud Storage, PubSub, DataFlow, etc.). • Experience with Alteryx, Tableau, Looker. • Excellent critical thinking, proactive decision-making, and communication skills. • Experience in coordinating data landing activities. • Strong collaboration and team leadership abilities. • Knowledge of machine learning concepts and models.
Education Required:
• Bachelor’s degree in Computer Science, Computer Engineering, Analytics, or a related field.
CategoryAnalyst
FunctionInformation Technology
Req IDJN -042024-121014
