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Data Solutions Engineering and Analytics Manager
Location:
Kennesaw, GA
Description:
Yamaha has an excellent opportunity for a Data Solutions Engineering & Analytics Manager to join our Digital Transformation Team in Marietta, GA .In this position you will be a leader in driving the business vision, prioritization, and execution of data initiatives as part of the Yamaha Digital Transformation. Will be responsible for developing the data platform that will be able to take the digital data collected from the various resources and be able to help the Yamaha BU's to develop successful strategic business programs. What you'll be doing: SME in development of the platform to unify all the data across the enterprise as well as other external data sources and advance the vision for digital transformation and innovation at Yamaha. Responsible for data platform vision and strategy - create a clear, convincing technical strategy that aligns to business priorities and objectives. Responsible for developing data products from proof of concept to scalable solutions based on business priorities and impact, using modern tools and technologies on the cloud. Utilize Artificial Intelligence (AI)/Machine Learning (ML) to elevate our organization towards more advanced analytics. Guide the development of data structures and pipelines that organize, collect, and standardize data to generate insights and address reporting needs. Optimize the data pipeline platform to support scalable workloads and diverse use cases. Define and deploy data architecture and enable top-down governance models. Lead an enterprise culture shift towards a data-driven culture. Increase adoption of data & analytics (D&A) via self-service and data catalog. Enable data driven business decisions for a wide population of business users by providing advanced access to data & analytics information via easy combinations of elements. Decision Marking: The position will be accountable for all the DX Data product engineering decisions (Strategy, Features, Releases, etc.) and the management of the data budget. What you'll need to be successful: Bachelor's Degree or equivalent in Computer Sciences, Data Analytics, Management Information Systems, or related quantitative field in Data Engineering 8+ years of experience in designing and building new scalable on-prem/cloud data engineering solutions using distributed frameworks like Spark, Hadoop etc. Experience in Google Analytics 4 (GA4) is a must. Experience in Salesforce Data Cloud (CDP) is a must Experience building and leveraging Customer Data Platforms such as Salesforce CDP to enable personalization and customer segmentation. Coding: Strong hands-on experience with languages like Python, PySpark, SQL, UNIX/Linux scripting to access, extract, manipulate and summarize data. Data Engineering: Experience in core data engineering activities like: Database optimization (partitioning, group and sort keys, indexes, query optimization), Data processing: (Spark, SQL Server, PostgreSql, Hadoop/Hive), Programming and/or scripting experience: (Python, PySpark, Bash), Data cleansing, Integration testing (PyTest or Unittest) Automation: Experience in automation and testing of data workflows, preferably Apache Airflow Familiarity with a broad base of analytical methods like Data modeling, variable based transformation & summarization, and algorithmic development. Experience working with: Airflow, Kubernetes, Cloud infrastructure (e.g., Azure, GCP), CI/CD (e.g., Azure DevOps, Git actions, Jenkins, or CircleCI) Hands-on experience with cloud data warehousing services like Snowflake and/or Big Query. Experience in SnowSQL, GCP - BigQuery, Cloud SQL, DataFlow, Pub/Sub, Cloud Functions etc. Experience with owning or overseeing ML Ops processes like Continuous Integration (CI), Continuous Delivery (CD), Continuous Training (CT), and Continuous Monitoring (CM) is a plus. Understanding of upcoming data technology trends like The Data Fabric from conceptualization to implementation. Don't meet every single requirement? Studies have shown that women and underrepresented minorities are less likely to apply to jobs unless they meet every single qualification. At Yamaha, we understand that talent comes in various forms, as such we are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles! What's in it for you: 401(k) and Profit Sharing Fertility Benefits 37.5-hour workweek Medical, Dental, Vision Life and AD&D Insurance Wellness Program Short-Term Disability Coverage (for hourly roles) Long-Term Disability Student Debt Repayment Benefits Ability to borrow Yamaha product Reports to: Department ManagerYamaha Motor Corporation, USA is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identify, national origin, veteran or disability or any other status protected by federal, state, or local law. We celebrate diversity and are committed to creating an inclusive environment for all employees. PDN-9bf7a32e-69a3-45d9-a6e5-5080018fbc5d
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More About this Listing: Data Solutions Engineering and Analytics Manager
Data Solutions Engineering and Analytics Manager is a Engineering Engineer Job at Yamaha Motor located in Kennesaw GA. Find other listings like Data Solutions Engineering and Analytics Manager by searching Oodle for Engineering Engineer Jobs.
Data Solutions Engineering and Analytics Manager is a Engineering Engineer Job at Yamaha Motor located in Kennesaw GA. Find other listings like Data Solutions Engineering and Analytics Manager by searching Oodle for Engineering Engineer Jobs.