Senior Data Consultant

About the job

We are seeking a highly skilled and innovative Senior Data Consultant (Databricks) to join our dynamic Data & Analytics team. This role is ideal for someone passionate about building scalable data solutions and driving business value through advanced analytics. As a Senior Data Consultant, you will play a key role in designing, developing, and optimizing data pipelines, collaborating closely with solution architects, analysts, and cross-functional teams to deliver robust data models and cloud-based solutions that support enterprise analytics and machine learning initiatives. Key Responsibilities • Design, develop, and maintain end-to-end data pipelines using modern data platforms and tools. • Build and manage ETL/ELT processes for large-scale data transformation in both real-time and batch modes. • Develop and maintain scalable data models and schemas to support analytics and ML applications. • Collaborate with data scientists, analysts, and IT teams to gather requirements and deliver high-quality data solutions. • Optimize performance and scalability of data pipelines, ensuring efficient resource usage and data quality. • Implement data governance best practices, ensuring data integrity, privacy, and security. • Leverage cloud platforms (AWS, Azure, or GCP) to implement and manage data pipelines and infrastructure. • Monitor, troubleshoot, and resolve data pipeline issues to ensure reliability and uptime. • Automate workflows and implement CI/CD pipelines for seamless deployment of data applications. • Stay current with emerging technologies and best practices in data engineering and cloud platforms. Requirements • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. • Proven experience as a Senior Data Consultant with hands-on expertise in Databricks. • Strong understanding of data warehousing, ETL/ELT, and data modeling principles. • Experience with Delta Lake and building scalable, high-performance data pipelines. • Hands-on experience with cloud platforms (AWS, Azure, or GCP). • Familiarity with tools like Apache Kafka, Airflow, or similar orchestration frameworks. • Knowledge of version control (e.g., Git) and CI/CD practices. • Excellent analytical, problem-solving, and communication skills.

Requirements

• Data Engineering
• Databricks
• ETL/ELT
• Cloud Platforms
• Data Governance

Qualifications

• Bachelor's degree in Computer Science
• Bachelor's degree in Engineering
• Bachelor's degree in Data Science

Preferred Technologies

• Data Engineering
• Databricks
• ETL/ELT
• Cloud Platforms
• Data Governance

Benefits

• Competitive Compensation
• Flexible working arrangements
• Supportive Team
• Doona Days
• Values: Authenticity, Creativity, Growth

About the company

Mivada is a fast-growing technology consulting firm focused on providing innovative solutions in data and analytics to enhance business performance.