We are seeking a talented and experienced Analytics Engineer who specializes in using Data Build Tool (DBT) and Databricks to join our dynamic team. In this role, you will play a crucial part in transforming raw data into actionable insights and driving data-driven decision-making across the organization.

Key Responsibilities:

• Data Transformation and Modeling:
• Use DBT to transform, clean, and model raw data into structured datasets that can be readily used for analysis and reporting.
• Develop and maintain data models, ensuring data accuracy, consistency, and reliability.
• Collaboration with Data Analysts and Data Scientists:
• Work closely with data analysts and data scientists to understand their analytical requirements and provide them with clean, well-structured data for analysis.
• Assist in creating and maintaining data pipelines that support machine learning and advanced analytics projects.
• Data Quality and Governance:
• Implement data quality checks and validation processes to ensure the accuracy and integrity of data.
• Collaborate with data stakeholders to establish and enforce data governance best practices.
• Performance Tuning:
• Optimize SQL queries and data pipelines for performance and scalability to handle large datasets efficiently.
• Documentation and Training:
• Document data transformation processes, data models, and ETL workflows to ensure knowledge sharing within the team.
• Provide training and support to team members on DBT and Databricks best practices.
• Adoption of Best Practices:
• Stay up-to-date with industry trends and best practices in analytics engineering, DBT, and Databricks.
• Continuously seek opportunities to improve data processes and drive innovation in data analytics.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Strong background in Git and Github flow
• Proven experience as an Analytics Engineer, Data Engineer, or similar role.
• Strong expertise in Data Build Tool (DBT) and Databricks.
• Proficiency in SQL and experience with database systems.
• Solid understanding of ETL principles and best practices.
• Knowledge of data warehousing concepts.
• Excellent problem-solving and communication skills.
• Strong attention to detail and commitment to data quality.
• Ability to work collaboratively in a team and communicate effectively with non-technical stakeholders.