Job Description & Responsibilities:

• Build Enterprise quality fit for purpose data solutions that integrate relevant information from both structured and unstructured sources meeting business needs
• Standardize data and reporting across businesses and teams to enable consistency and quality of key business data
• Design and develop enterprise data warehouse platform that conforms to consistent methodologies, standards and industry best practices
• Design, develop, test and document data integrations and assist with deployment, validation and hypercare
• Maintain and support ETL/ELT integrations
• Participate in designing overall logical & physical data warehouse and data mart models and architectures to support business requirements
• Develop and maintain SQL, PL/SQL, Python code as needed
• Analyze data and assist with developing insights (e.g., via data visualization tools like Power BI / SAC) to enable business decision making
• Developing prototypes and proof of concepts for required solutions
• Build information security standards into data solutions
• Prepare and present ideas and recommendations to colleagues and management
• Document solutions through high/low level design documentation
• Learn new data engineering and analytic tools as needed
• Contribute to development of the overall solution approach
• Recommend solutions to address gaps
• Assist more senior staff to supervise and review activities of consultants

Education Qualification & Skill Requirements:

• Bachelor’s degree in Analytics, Data Engineering, Data Science, AI/ML, Computer Science, Engineering, Statistics, Mathematics or related field
• Typically requires minimum of 3-6 years work experience
• Experience with Data Virtualization technologies and tools, Denodo preferred
• Experience with MPP systems, Azure Synapse preferred
• Experience building Cloud based Data Solutions in Azure
• Experience in data processing using SQL, Python
• Working knowledge of BI architecture, dimensional modeling, data warehousing best practices, and data integration standard methodologies
• Experience working with Big Data technologies such as Spark, Kafka, DataBricks, Hive, or equivalent
• Experience with visualization technologies and services including Microsoft Power BI, SAP Analytics Cloud, Oracle Business Intelligence is a plus
• Working knowledge of Python ML libraries like Scikit-learn/PyTorch or Azure ML
• Experience working in DevOps / CICD framework is a plus
• High accountability with a demonstrated ability to deliver
• Strong communication skills including design documentation
• Strong collaboration skills working with architecture, design and development teams