Dice is the leading career destination for tech experts at every stage of their careers. Our client, Ford Motor Company, is seeking the following. Apply via Dice today!Job DescriptionWe are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves?Enterprise Technology plays a critical part in shaping the future of mobility. If you're looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people's lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.We are currently seeking a seasoned Google Cloud Platform Cloud Data Engineer with at least 4 years of experience in designing data models and leading/implementing Google Cloud Platform data projects. You will design data warehouse/data marts, build ETL pipelines to ingest and land data from heterogeneous sources into our system. You should have excellent business and communication skills and be able to work with business owners to understand their data requirements and help them make data-related decisions. You should be an excellent coach and help upskill the subject matter experts build data engineering skills/toolsets.The job role might also require you to learn new tools and technologies fast, and you should have in-depth database knowledge as well as basic programming (Java, Python) and scripting skills. You will help to build efficient and stable data pipelines which can be easily maintained in the future. You should have expertise in the design, creation, management, and business use of large datasets.In this position...Work with Product owner, Architect teams, functional SMEs to design and implement modern, scalable data solutions using a range of new and emerging technologies from the Google Cloud Platform.Migrate on Prem Applications to Google Cloud Platform products. Ensure data model redesign is done by understanding business needs from functional SMEs.Understand business requirements, lead design discussions, create logical data models, physical data models and data dictionaries for data warehouse/data marts. Manage and maintain data models in Power Designer repository.What You'll Do...Use architecture recommended existing ingesting patterns and build pipeline from different sources and create data warehouse/data marts in Google Cloud Platform Big Query.Analyze and profile data from different source systems and provide data architecture design recommendations.Work with Agile and DevOps techniques and implementation approaches in the delivery.Be required to build and deliver Data solutions using Google Cloud Platform products and offerings.Help team Upskill themselves in Google Cloud Platform data technologies.Design, implement, and continuously expand data pipelines by performing extraction, transformation, and loading activities.Gather requirements and business process knowledge in order to transform the data in a way that's geared towards the needs of end users.Ensure that the data architecture is scalable and maintainable.Investigate data to identify potential issues within ETL pipelines, notify end-users and propose adequate solutions.You'll have...Bachelors Degree in Computer Science, Engineering, or similar technology discipline.Total of 6+ years of experience in IT including a minimum of four years in data engineering.Deep knowledge and understanding of Data Warehouse and Data Mart Concepts.Experience in designing logical data models, creating physical data models for transactional systems and/or data warehouse and data marts.Ability to create and manage data models using Power Designer / ERWIN / Data Modeling tools.Experience working in Hadoop, particularly with HDFS and Hive.In-depth knowledge and hands-on experience in Google Cloud Platform cloud-native services such as BigQuery, Dataflow, Pub/Sub, Cloud Data Fusion, Cloud Composer and Google Data Studio etc.Experience in architecting and designing solutions leveraging services like Cloud Bigquery, Cloud Data Flow, Cloud Pub OR Sub, Cloud BigTable.Familiarity with the technology stack available in the industry for metadata management: Data Governance, data quality.Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing and curation.Extensive experience in Data migration.Experience with object-oriented/object function scripting languages: Java/Python.Build/maintain ETL pipelines, auditing, Dataplex.Even better, you may have...Google Cloud Platform Data engineer certification.Experience with object-oriented/object function scripting languages: Java, Terraform etc.Experience with CICD pipeline and GitHub.E2E Data Engineering and Lifecycle (including non-function
Location: Little Ferry, NJ
Posted: Nov. 8, 2024, 9:23 p.m.
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