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Sr. Data Engineer

1 month ago

Atlanta, United States Thyssenkrupp Elevator Full time

The first 3 letters in workplace safety are Y-O-U TK Elevator is seeking an experienced Sr. Data Engineer in Atlanta, GA. Responsible for data engineering activities and aiding in building the business' information systems, data governance, data management, data integration and data warehouse for key business areas including but not limited to Manufacturing, Engineering, Spare Parts and Supply Chain. The role of the Senior Data Engineer is responsible for building and maintaining optimized and highly available data that facilitate deeper analysis, quality data, metadata and reporting for the various systems and Analytics groups which supports relevant TKE business functions. ESSENTIAL JOB FUNCTIONS: Design data models for key program processes and data entities, ensuring integration with enterprise conceptual and physical data models using hackolade or any other modelling tools. Plan data architecture and design by leveraging Azure architectural frameworks, including CAF and Azure Well-Architected Framework, to align with solution concepts, strategy, and target audience. Implement a disciplined approach to managing data assets and architectural principles into scalable technology solutions. Build and maintain reliable, automated, and scalable ETL pipelines on Azure data platforms, supporting critical business functions and analytics, with a strong focus on Azure Databricks and Azure Onelake. Ensure regulatory compliance for data assets, including consumer privacy laws and data retention policies, using Azure Purview for data governance and cataloging. Resolve conflicts between data models, ensuring consistency with the enterprise model and alignment with data governance best practices. Partner with Data Owners and Data Stewards to design solutions that adhere to data management principles and best practices. Experience in implementing Master Data Management is a plus. Lead the design of data architecture across multiple domains and sub-domains within the Azure ecosystem. Coordinate new development activities to ensure they are consistent and well-integrated with the established Azure ecosystem data architecture. Review and approve data model designs, focusing on interoperability, analytics, and compliance with the portfolio information model. Required to draft reports and prepare presentations for senior leadership. These reports and presentation must be clear, concise, unambiguous, engaging and convincing, which will demand exceptional communication skills. EDUCATION and EXPERIENCE: Bachelor's degree (B.A. / B.S.) in Information Technology or Computer Science or related field or the equivalent combination of education and experience, Master of Science (M.S.) in Data Analytics, Computer Science or related quantitative field a plus. Must have had at least 5-7 years of working experience working in a data engineering department, as a Data Engineer or Sr/lead Data Engineer in a fast-paced environment and complex business setting Proven ability to collaborate with formal and informal groups, prioritizing team needs and involving others in decision-making. Effective communication and teamwork skills, with the ability to work with cross-functional teams. Strong problem-solving and critical thinking abilities, with a focus on innovative cloud-based solutions. Advanced SQL skills, particularly T-SQL, with experience in relational database management on Azure SQL Database. Extensive experience in Python development, especially for data projects using Azure Databricks. Proficiency in ETL processes and pipeline orchestration using Azure Data Factory. Familiarity with version control systems and CI/CD tools, particularly Azure DevOps and GitHub Actions. Ability to interact with all management levels to assess business requirements and deliver stable, cost-effective technology solutions. Strong troubleshooting and problem-solving skills, with attention to detail and accuracy. Experience in partnering with technical and cross-functional teams to deploy machine learning models in production using Azure ML and Databricks. Experience with infrastructure a plus. EDUCATION and EXPERIENCE: Bachelor's degree (B.A. / B.S.) in Information Technology or Computer Science or related field or the equivalent combination of education and experience, Master of Science (M.S.) in Data Analytics, Computer Science or related quantitative field a plus. Must have had at least 5-7 years of working experience working in a data engineering department, as a Data Engineer or Sr/lead Data Engineer in a fast-paced environment and complex business setting Proven ability to collaborate with formal and informal groups, prioritizing team needs and involving others in decision-making. Effective communication and teamwork skills, with the ability to work with cross-functional teams. Strong problem-solving and critical thinking abilities, with a focus on innovative cloud-based solutions. Advanced SQL skills, particularly T-SQL, with experience in relational database management on Azure SQL Database. Extensive experience in Python development, especially for data projects using Azure Databricks. Proficiency in ETL processes and pipeline orchestration using Azure Data Factory. Familiarity with version control systems and CI/CD tools, particularly Azure DevOps and GitHub Actions. Ability to interact with all management levels to assess business requirements and deliver stable, cost-effective technology solutions. Strong troubleshooting and problem-solving skills, with attention to detail and accuracy. Experience in partnering with technical... Equal Opportunity Employer - minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity