Enterprise Analytics Data Engineer

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Job Description

Overview

As an Azure Enterprise Analytics Data Engineer, you will play a key role in designing, building, and optimizing data pipelines and analytics solutions on the Microsoft Azure platform. You will collaborate with cross-functional teams to transform business requirements into scalable data solutions, ensuring data integrity, performance, and accessibility.

Key Responsibilities

• Design and implement scalable data pipelines and analytics solutions using Azure services.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
• Develop and maintain data models, ETL processes, and data integration workflows.
• Ensure data quality, governance, and security across all analytics platforms.
• Create interactive dashboards and visualizations to support business decision-making.
• Optimize performance of data systems and troubleshoot issues as needed.
• Contribute to the development and deployment of machine learning models and statistical analyses.
• Participate in version-controlled development workflows and collaborative analytics projects.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
• 3+ years of experience in data science, modeling, or programming (Python, MATLAB, R, C++, SQL, Java, etc.).
• 3+ years of experience in data visualization tools (Plotly, Power BI, Tableau, Matplotlib, etc.).
• Strong understanding of statistical and machine learning methods.
• Hands-on experience with database and cloud platforms (Databricks, Spark, Microsoft SQL, SAP HANA, Microsoft Cloud).
• Experience with Azure Data Factory for orchestrating data workflows.
• Proficiency in Microsoft SQL Server for data storage and querying.
• Hands-on experience with Azure Data Lake for big data storage and analytics.
• Experience with Generative AI tools such as Azure OpenAI or Databricks Genie.
• Proficiency in front-end development technologies (HTML, CSS, JavaScript, Bootstrap, etc.).
• Experience with version-control systems (GitHub, etc.).
• Demonstrated ability to use data to make strategic recommendations and inform decisions.
• Excellent communication skills with the ability to present findings clearly and concisely.
• Proven experience working in collaborative teams, including co-development of models and results.

Benefits of Joining Albemarle

• Competitive compensation

• Comprehensive benefits package

• A diverse array of resources to support you professionally and personally.

We are partners to one another in pioneering new ways to be better for ourselves, our teams, and our communities. When you join Albemarle, you become our most essential element and you can anticipate competitive compensation, a comprehensive benefits package, and resources that foster your well-being and fuel your personal growth. Help us shape the future, build with purpose and grow together.