Sr Cloud Data Engineer, SMAI

Understand the Business Problem and the Relevant Data
 · Maintain an intimate understanding of company and department strategy
 · Translate analysis requirements into data requirements
 · Identify and understand the data sources that are relevant to the business problem
 · Develop conceptual models that capture the relationships within the data
 · Define the data-quality objectives for the solution
 · Be a subject matter expert in data sources and reporting options   
                        
Architect Data Management Systems
 · Leverage understanding of the business problem and the nature of the data to select appropriate data management system (Big Data, OLTP, OLAP, etc.)
 · Design and implement optimum data structures in the appropriate data management system (Hadoop, Teradata, SQL Server, etc.) to satisfy the data requirements
 · Plan methods for archiving/deletion of information
                               
Develop, Automate, and Orchestrate an Ecosystem of ETL Processes for Varying Volumes of Data
 · Identify and select the optimum methods of access for each data source (real-time/streaming, delayed, static)
 · Determine transformation requirements and develop processes to bring structured and unstructured data from the source to a new physical data model
 · Develop processes to efficiently load the transform data into the data management system

Prepare Data to Meet Analysis Requirements
 · Work with the data scientist to implement strategies for cleaning and preparing data for analysis (e.g., outliers, missing data, etc.)
 · Develop and code data extracts
 · Follow best practices to ensure data quality and data integrity
 · Ensure that the data is fit to use for data science applications 

Qualifications and Experience:           
 · 5+ years developing, delivering, and/or supporting data engineering, advanced analytics or business intelligence solutions
 · Ability to work with multiple operating systems (e.g., MS Office, Unix, Linux, etc.)
 · Experienced in developing ETL/ELT processes using Apache Ni-Fi and Snowflake

 · Experienced in Cloud based solutions using AWS/AZURE/GCP.
 · Significant experience with big data processing and/or developing applications and data sources via Spark, etc.
 · Understanding of how distributed systems work       
 · Familiarity with software architecture (data structures, data schemas, etc.)
 · Strong working knowledge of databases (Oracle, MSSQL, etc.) including SQL and NoSQL. 
 · Strong mathematics background, analytical, problem solving, and organizational skills     
 · Strong communication skills (written, verbal and presentation)
 · Experience working in a global, cross-functional environment
 · Minimum of 2 years’ experience in any of the following:  At least one high-level client, object-oriented language (e.g., C#, C++, JAVA, Python, Perl, etc.); at least one or more web programming language (PHP, MySQL, Python, Perl, JavaScript, ASP, etc.); one or more Data Extraction Tools (SSIS, Informatica etc.)
 · Software development
Ability to travel as needed.

• Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.
  • Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.