Data Engineer Cloud

Technology:
Python, GCP, AWS, SQL, R, HTML, C, C++, Java, SQL, Azure, Spark

Skills:

• Strong experience in building data pipelines using SQL and Python.
• Proficiency in managing databases and data warehouses, ensuring optimal performance and secure access to data.
• Expertise in automating the production and delivery of business metrics, including real-time and scheduled reporting.
• Experience in creating both manual and automated visualizations (e.g., slides, dashboards, apps) to deliver insights to stakeholders.
• Proven ability to write design documents and explore technical concepts before development to ensure that deliverables meet business requirements.
• Background in equipment quality management, vendor quality assessment, and EHS compliance is highly desirable.
• Ability to collaborate with business and technical teams to translate complex requirements into technical solutions.

Responsibilities:

• Design, develop, test, and deploy highly efficient code for supporting SDTM, Custom reports, and Visualizations using tools like MS SQL, elluminate® Mapper, and Qlik.
• Collaborate with the Quality Assurance team to validate that reports and visualizations meet functionality.
• Provide technical guidance, training, and support to other team members and users on processes, technology, and products.
• Manage multiple timelines and deliverables (for single or multiple clients) and handle client communications as assigned.
• Configure, migrate, and support the elluminate® platform.
• Create and maintain all required Specifications and Quality Control documents as needed by SOPs and processes.
• Perform other duties as assigned.

Requirements:

• Bachelor’s or Master’s degree in science, technical, or business discipline (or equivalent experience preferred).
• 2-5 years of professional experience in a services or consulting role preferred.
• 2+ years in database design and development experience preferred.
• Understanding of Cloud/Hybrid data architecture concepts is a plus.
• Prior experience in customer-facing roles is a plus.
• Proficiency in Microsoft Office Applications, specifically MS Project and MS Excel.
• Experience with multiple Database Platforms: Oracle, SQL Server, Teradata, DB2, Oracle.
• Experience with Data Reporting Tools: QlikSense, QlikView, Spotfire, Tableau, JReview, Business Objects, Cognos, MicroStrategy, IBM DataStage, Informatica, Spark, or related.
• Familiarity with other languages and concepts: .NET, C#, Python, R, Java, HTML, SSRS, AWS, Azure, Spark, REST APIs, Big Data, ETL, Data Pipelines, Data Modelling, Data Analytics, BI, Data Warehouse, Data Lake, or related.