Senior Data Engineer at Accenture

Purpose:  

• We are seeking an experienced and highly skilled Senior Data Engineer to join our team. The ideal candidate will have a robust background in data science and engineering, a proven track record of working with large datasets, and the ability to lead projects and mentor junior team members 

Key Responsibilities: 

Data Analysis and Interpretation: 

• Analyze and interpret complex datasets to uncover trends, patterns, and actionable insights. 
• Develop and implement advanced statistical models to solve business problems. 

Data Engineering: 

• Design, develop, and maintain scalable data pipelines and architectures. 
• Ensure data quality, integrity, and security across various sources. 
• Optimize data storage solutions for efficiency and performance. 

Project Leadership: 

• Lead data engineering projects from conception to deployment. 
• Coordinate with cross-functional teams, including product, engineering, and business stakeholders, to ensure successful project delivery. 
• Define project scope, goals, and deliverables that support business objectives. 

Mentorship and Collaboration: 

• Mentor and provide guidance to junior data engineers. 
• Foster a collaborative and innovative team environment. 
• Communicate complex technical concepts and insights to non-technical stakeholders. 

Research and Development: 

• Stay current with the latest advancements in data engineering.
• Experiment with new tools, techniques, and technologies to continuously improve data processes and analytics. 

Deployment and Maintenance: 

• Deploy and monitor data pipelines in production environments. 
• Continuously improve and maintain existing data models and infrastructure. 
• Implement best practices for model management and version control. 

Qualifications: 

• Master’s or Ph.D. degree in Computer Science, Statistics, Engineering, or a related field. 

Experience: 

• 5+ years of experience in data engineering, or a related field. 
• Proven experience leading data projects and managing teams. 
• Extensive experience with data analysis and statistical modeling.

Technical Skills: 

• Proficiency in programming languages such as Python, R, or Scala. 
• Expertise in data processing frameworks like Apache Spark, Hadoop, or similar. 
• Strong SQL skills and experience with relational and NoSQL databases. 
• Familiarity with cloud platforms such as Azure, or Google Cloud. 
• Advanced knowledge of data visualization tools like Tableau, Power BI, or similar.