Senior Consultant, Data Engineer (Databricks Experience)

About the role

We are seeking a highly skilled Senior Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering, with expertise in Databricks, DevOps tools (Jenkins/Terraform), and data modeling concepts (3NF, Dimensional, Data Vault). As a Senior Data Engineer, you will play a critical role in designing, implementing, and maintaining our client's data infrastructure while ensuring scalability, reliability, and efficiency.

Responsibilities

• Data Engineering: Design, build, and maintain scalable data pipelines and ETL processes using Databricks and other relevant technologies.
• DevOps Integration: Implement continuous integration and continuous deployment (CI/CD) pipelines using Jenkins and Terraform to automate deployment, monitoring, and scaling of data infrastructure.
• Data Modeling: Develop and implement data models based on business requirements, including 3NF, Dimensional, and Data Vault models. Ensure data models adhere to best practices for efficiency, scalability, and maintainability.
• Performance Optimization: Identify and address performance bottlenecks in data pipelines and queries. Optimize data processing and storage to improve overall system performance.
• Data Quality Assurance: Implement data quality checks and monitoring processes to ensure data accuracy, completeness, and consistency.
• Collaboration: Work closely with cross-functional teams including data scientists, analysts, and software engineers to understand data requirements and deliver high-quality solutions.
• Documentation and Best Practices: Document data pipelines, infrastructure configurations, and data models. Define and enforce best practices for data engineering and DevOps processes.
• Training and Mentorship: Provide guidance and mentorship to junior team members. Conduct training sessions to promote knowledge sharing and skill development within the team.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field. Master’s degree preferred.
• Proven experience as a Data Engineer, preferably in a cloud-based environment.
• Strong proficiency in Databricks for data processing and analytics.
• Hands-on experience with DevOps tools such as Jenkins and Terraform for infrastructure automation.
• In-depth knowledge of data modeling concepts including 3NF, Dimensional, and Data Vault.
• Proficiency in SQL and programming languages such as Python or Scala.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.