Analytics & Data Engineering

About the Role

In this Analytics & Data Engineering role at Cognizant Consulting, you will be responsible for designing, developing, and maintaining large-scale data architectures using Azure Data Factory and Databricks. You will work closely with cross-functional teams to ensure seamless data integration and business insights. Your primary focus will be on leveraging machine learning and AI to drive business growth and innovation.

Key Responsibilities

• Design and develop data pipelines using Azure Data Factory and Databricks.
• Collaborate with data scientists to integrate machine learning models into production-ready data architectures.
• Develop and maintain data warehouses using Snowflake and Databricks.
• Work with business stakeholders to understand data requirements and develop data visualizations using BI tools.
• Develop and maintain data quality and governance frameworks using Reltio MDM and Data Fabric.
• Stay up-to-date with emerging trends and technologies in data engineering and machine learning.
• Contribute to the development of data engineering best practices and standards within the organization.

Skills & Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related field.
• Proficiency in programming languages such as Python, Java, or C++.
• Experience with data engineering tools such as Azure Data Factory, Databricks, and Snowflake.
• Knowledge of machine learning and AI concepts, including supervised and unsupervised learning.
• Experience with data visualization tools such as Tableau or Power BI.
• Certifications in data engineering, machine learning, or AI (optional).
• Strong understanding of data governance and quality principles.

What You'll Learn

In this role, you will gain hands-on experience with cutting-edge data engineering and machine learning technologies. You will learn how to design and develop scalable data architectures, integrate machine learning models into production-ready data pipelines, and develop data visualizations using BI tools. You will also have the opportunity to work with cross-functional teams to drive business growth and innovation.

Resume Tip

When applying for this role, be sure to highlight your experience with data engineering tools such as Azure Data Factory, Databricks, and Snowflake. Also, include any relevant certifications in data engineering, machine learning, or AI. Emphasize your understanding of data governance and quality principles, as well as your ability to work with cross-functional teams to drive business growth and innovation.