Data Architect

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

You will be part of Enterprise Data & Analytics team responsible for identifying analytical needs, exploring new technologies, and applying data sciences/machine learning concepts to maximize value from data assets. The Data Engineer will work closely with key stakeholders both IT and Business to turn data into critical information and knowledge that can be used to make sound business decisions. The individual must have an in-depth understanding of the business environment, an interest in going beyond the obvious, aptitude for new tools/technologies, and obsession for customer success

Job Requirements

• Must possess strong subject matter expertise in at least two domains of Sales, Marketing, Install Base, Finance, and Customer Support areas.
• Demonstrated ability to have completed multiple, complex technical projects
• Data modeling experience in Enterprise Data Warehouse and DataMart
• Knowledge of ER modeling, big data, enterprise data, and physical data models
• Familiarity with data modeling software such as SAP PowerDesigner, Microsoft Visio, or erwin Data Modeler
• Hands-on experience in SQL, Python, NoSQL, JSON, XML, SSL, RESTful APIs, and other related standards
• Hands-on emphasis with a proven track record of building and evaluating data pipes, and delivering systems for final production
• Exposure to Big Data Analytics (data and technologies), Data Sciences, predictive analytics, modelling, machine learning, in-memory applications
• Experience with various data systems like Oracle Data Warehouse, Snowflake, HVR, Informatica IICS, SAP HANA, Hadoop/Hive, Vertica, Redshift, Presto, Mangodb
• Experience in all phases of a Software Development Life Cycle. Well versed in different project life cycle management methodologies – Waterfall and Agile. 
• Strong understanding devops, on-premise, and cloud deployments - AWS, Google, Azure

Education

• A minimum of 10 years of experience is required, including 5+ years solid relevant experience in Business Analytics.
• Bachelor of Science Degree in Computer Science, Management Information Systems, or Business, or related field is required