Data Engineer

• Document data sources, definitions, import procedures, and permissions policies
• Plan, organize, and put security measures in place to protect data against damage, modification, or disclosure caused by accident or unauthorized people
• Recognize data patterns, connections, and important signs that point to sound guidance
• Enhance data discoveries through researching through dialogue or other methods
• Take charge of every element of data collection and administration
• Serve users across the whole organization by gathering, reviewing, and purifying data from multiple sources to provide a single source of truth.
• Conduct in-depth analysis to assist decision-making and find chances to increase profits
• Work together as a cross-functional team to uphold effective business procedures
• To enable precise, quick, and proactive information-based decision-making, combine a strong business sense with honed data manipulation skills
• Give evidence to support actionable insights regarding sales activity, the efficiency of processes, and the achievement of KPI targets and outside standards.
• Utilize data to your advantage to help grow the business
• With relevant parties, discuss findings and suggestions from datasets
• Create, deploy, and maintain dashboards to support strategic objectives
• Take charge of reporting and analysis on a regular and as-needed basis
• Guide and instruct staff on BI tools and best practices to improve the use of data in their work by preparing regular written reports and presentations for leadership
• Audit, update, and clean up master data files in ERP on a regular basis, paying specific attention to product data and price
• Maintain and import data into MS SQL Server
• Utilize specialized reporting tools to retrieve data from the ERP system
• Gather master and transactional data for every aspect of the company, including product management, sales and customer activity, finances, expenses, commissions, and human resources
• Request and discuss vendor-supplied data directly with vendors
• Coordinate data-gathering techniques and criteria to provide consistency, integrity, and control
• Examine user requests for database enhancements to determine how much time and money will be needed
• Maintain the performance and integrity of current databases, in particular via systematic audits and comparisons to reference systems
• Act quickly to alert users and fix identified data quality issues
• Create and maintain collaborative worksheets and other tools to make it easier for users to manually enter data
• Prioritize work by meeting deadlines and handling many projects
• Own assigned tasks and act with a high degree of accountability
• Support the maintenance and assistance of ERP systems
• Control and keep track of automated file sharing and posting extracts for both internal and external users
• Accomplish set goals by keeping an active grasp of the product line and how the organization is structured

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
• At least 3+ years of relevant experience as a data engineer
• Prolific experience working with SQL, VBA, and PowerShell Scripting
• 2+ years of experience performing advanced manipulations of large data sets
• Thorough knowledge of data warehousing ideas and techniques
• Strong technical writing abilities and understanding of supply chain management
• Nice to have some understanding of business intelligence tools
• Familiarity with AWS, Excel, and Data Analysis is desirable
• Nice to have some knowledge of Excel VBA and Microsoft Office
• Must be a self-starter who thrives in a fast-paced atmosphere and who is detail-oriented
• Proven ability for achieving success through and with people
• Ability to effectively explain difficult information in writing and verbally
• Be able to work iteratively and with comfort
• Possess the capacity to query and troubleshoot data, and be dedicated to lifelong learning and development
• Must be motivated and analytical
• High level of familiarity with using quantitative data to promote a viewpoint
• Excellent written and verbal English communication skills