Data Engineer III, Cloud

The Cloud Data Engineer is responsible for designing, implementing, maintaining, and securing Azure-based data platforms. This role builds and manages data pipelines, data storage solutions, data processing frameworks, and cloud infrastructure to support enterprise reporting, analytics, and business intelligence initiatives.

The engineer will work closely with business analysts, Power BI developers, DBAs, and infrastructure teams to ensure reliable, scalable, and secure data solutions., * Data Pipeline Development

• Design, develop, and maintain ETL/ELT pipelines.
• Build automated batch and near real-time data integration processes.
• Integrate data from on-premises and cloud systems.
• Troubleshoot and optimize data workflows.
• Data Storage & Modeling
• Design and maintain data warehouse and data lake architectures.
• Develop logical and physical data models.
• Optimize database schemas, indexes, and partitioning strategies.
• Support historical data retention and archival requirements.
• Azure Platform Administration
• Manage and support:
• Azure Data Factory (ADF)
• Azure Data Lake Storage (ADLS)
• Azure SQL Database / Azure PostgreSQL
• Azure ExpressRoute
• Gateway Servers
• Monitoring & Logging Solutions
• Configure networking, security groups, and access controls.
• Database Administration
• Performance tuning and query optimization.
• Monitoring and maintenance.
• Backup and recovery management.
• High Availability (HA) and disaster recovery planning.
• Replication and failover configuration.
• Infrastructure & Automation
• Develop scripts and automation for operational tasks.
• Support CI/CD deployment processes.
• Automate monitoring, alerting, and maintenance activities.
• Monitoring & Support
• Monitor platform availability and performance.
• Resolve production incidents and root causes.
• Maintain SLA and operational standards.
• Provide technical support to business and development teams.

Work Schedule and Travel Requirements

• Monday - Friday 8:00 AM - 5:00 PM; Flexible Schedule at the discretion and approval of Manager
• No Travel Required

• 4 - 7 years of data engineering experience, Required
• 3 - 5 years of Azure cloud experience, Preferred
• Experience with Power BI environments.
• Experience migrating on-premises systems to Azure.
• Education Requirements
• Bachelor’s Degree in Computer Science, Information Systems, or related field, Required
• Knowledge, Skills & Abilities (KSAs)
• Azure Services
• Azure Data Factory (ADF)
• Azure Data Lake Storage Gen2
• Azure SQL Database
• Azure Database for PostgreSQL
• Azure ExpressRoute
• Azure Virtual Networks
• Data Technologies
• SQL, Data Modeling, ETL / ELT, Data Warehousing
• Star Schema / Dimensional Modeling
• Scripting & Programming
• Python, PowerShell, SQL T-SQL / PostgreSQL

Competencies

Analytical Thinking

Gathers, evaluates, and interprets information to understand issues, identify root causes, and make sound decisions. Applies logical reasoning, critical thinking, and objective analysis to solve problems, assess risks and opportunities, and develop effective solutions that support business and organizational goals.

Communication Skills

Clearly and effectively exchanges information, ideas, and expectations with others through verbal, written, and interpersonal communication. Communicates in a manner that promotes understanding, builds relationships, and supports collaboration across teams and stakeholders. Demonstrates active listening, adapts messages to the audience, and ensures information is conveyed accurately, professionally, and respectfully.

Functional Knowledge

The understanding and application of the specialized knowledge, principles, processes, tools, and best practices required to perform effectively within a specific functional area. Demonstrates expertise in job-related responsibilities and applies technical or professional knowledge to solve problems, improve performance, ensure compliance, and support business objectives. Continuously develops and maintains functional expertise to adapt to evolving business needs, industry trends, and organizational requirements.

Problem Solving

Identifies issues, analyzes situations, and develops effective solutions that address root causes and support business objectives. Applies critical thinking, sound judgment, and a systematic approach to evaluate information, consider alternatives, and implement practical actions. Proactively anticipates challenges, resolves obstacles, and continuously seeks opportunities to improve processes, performance, and results.

Job Impact

The degree to which an individual’s work contributes to organizational objectives, operational effectiveness, and overall business success. Demonstrates an understanding of how actions, decisions, and performance influence team, department, and company results. Focuses on delivering meaningful outcomes, creating value, and ensuring work efforts positively affect customers, stakeholders, and business performance.

Pulled from the full job description

• Tuition reimbursement
• Health insurance
• 401(k) matching
• Vision insurance
• Dental insurance
• Paid sick time
• Paid holidays

Tomorrow’s most advanced automotive technology is being envisioned today at MOBIS Parts America (MPA). A subsidiary of Hyundai MOBIS, we are a top leading automotive parts supplier. MPA provides after-sales service parts support for Hyundai Motors, Kia Motors, and Genesis. In addition to the distribution of genuine service parts, the MPA Accessories division develops accessories for Hyundai, Kia, and Genesis - which are installed on new vehicles in the United States and Canada.