This is a fully remote position, open to applicants in Texas.

📋 Description

• Design, develop, and maintain enterprise data products, analytics platforms, and integration solutions.

• Create scalable data pipelines.

• Implement contemporary Lakehouse architectures.

• Integrate operational and enterprise systems.

• Facilitate reporting, analytics, and digital transformation initiatives.

• Develop reusable and governed data products for various business and operational consumers.

• Provide support for production data solutions and enterprise analytics environments.

• Establish data quality, validation, and monitoring processes.

⛳️ Requirements

• A minimum of 7 years of experience in Data Engineering, Data Warehousing, Data Platforms, Analytics Engineering, Data Integration, or related fields.

• At least 2 years of experience in supporting Manufacturing, Industrial IoT, Operational Technology, Supply Chain, Logistics, Asset Management, or other operationally intensive environments.

• Extensive experience in designing and implementing enterprise data pipelines.

• Proficient in SQL and Python development.

• Skilled in integrating various enterprise and operational data sources.

• Familiarity with cloud-based data platforms (Azure preferred).

• Experience in supporting production data solutions and enterprise analytics environments.

• Knowledge in implementing data quality, validation, and monitoring processes.

• Experience working with structured, semi-structured, and event-based data.

• Must be proficient in Databricks, SQL, Python, ETL/ELT Development, Lakehouse Architecture, Delta Lake, Bronze/Silver/Gold (Medallion) Architecture, Data Integration, Data Modeling, Data Quality & Validation, Data Lineage, Data Product Development, Git, CI/CD Fundamentals, Power BI, and Cloud Data Platforms.

• Applicants must be US Persons (citizens or permanent residents).