Data Engineer / Analytics Engineer

Job Summary

The Data Engineer / Analytics Engineer plays a crucial role in designing, developing, and optimizing scalable data pipelines. This position supports data-driven decision-making within the organization by transforming and managing data workflows, collaborating with various teams, and ensuring the delivery of high-quality analytical insights.

Responsibilities

• Design, develop, and optimize scalable data pipelines to facilitate efficient data processing.
• Build and maintain transformation models utilizing DBT for effective data transformations.
• Collaborate with cross-functional teams to define data requirements and deliver actionable analytical insights.
• Leverage AWS Data Services such as S3, Lambda, and Step Functions to manage and orchestrate data workflows.
• Contribute to CI/CD pipelines to ensure the smooth deployment of data solutions and integration of new features.
• Support Business Intelligence (BI) and analytics teams in building dashboards and ensuring data quality.

Qualifications

• Strong expertise in SQL (PostgreSQL, MySQL).
• Hands-on experience with DBT for performing data transformations.
• Proficiency in Python for developing data workflows and automation tasks.
• Experience with AWS Data Services – including S3, Lambda, and Step Functions.
• Familiarity with version control using Git and exposure to CI/CD practices.
• Excellent communication and stakeholder management skills.
• Educational qualifications: Bachelor's degree in Computer Science, Engineering, or a related field is preferred.

Preferred Skills

• Experience with Business Intelligence (BI) & Analytics platforms (e.g., Tableau, Power BI, GoodData).
• Understanding of Analytics Engineering best practices to enhance data processes.

Experience

• Minimum of 6+ years of relevant experience in data engineering or analytics engineering.