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Title
Text copied to clipboard!Analytics Engineer
Description
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We are looking for an Analytics Engineer to join our dynamic team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and analytics infrastructure that empower data-driven decision-making across the organization. You will collaborate closely with data scientists, analysts, and business stakeholders to ensure data quality, accessibility, and usability. Your expertise will help transform raw data into actionable insights by developing efficient data models and integrating various data sources. The ideal candidate has a strong background in data engineering, analytics, and software development, with a passion for solving complex data problems and optimizing data workflows. Responsibilities include developing ETL processes, managing data warehouses, implementing data quality checks, and supporting analytics tools. You will also be expected to stay current with emerging data technologies and best practices to continuously improve our analytics capabilities. This position offers the opportunity to work in a fast-paced environment where your contributions directly impact business outcomes and strategic initiatives.
Responsibilities
Text copied to clipboard!- Design, develop, and maintain scalable data pipelines and ETL processes.
- Collaborate with data scientists and analysts to understand data requirements.
- Implement and optimize data models for analytics and reporting.
- Ensure data quality, integrity, and security across data systems.
- Manage and monitor data warehouse environments and infrastructure.
- Develop and maintain documentation for data processes and systems.
- Troubleshoot and resolve data-related issues and bottlenecks.
- Integrate data from multiple sources to create unified datasets.
- Support deployment and maintenance of analytics tools and platforms.
- Stay updated with latest data engineering technologies and best practices.
Requirements
Text copied to clipboard!- Bachelor's degree in Computer Science, Engineering, or related field.
- Proven experience in data engineering or analytics engineering roles.
- Strong proficiency in SQL and database management.
- Experience with ETL tools and data pipeline frameworks.
- Familiarity with cloud platforms such as AWS, GCP, or Azure.
- Knowledge of data warehousing concepts and technologies.
- Programming skills in Python, Java, or similar languages.
- Understanding of data modeling and schema design.
- Ability to work collaboratively in cross-functional teams.
- Strong problem-solving and communication skills.
Potential interview questions
Text copied to clipboard!- Can you describe your experience with building data pipelines?
- Which ETL tools and technologies have you worked with?
- How do you ensure data quality and integrity in your projects?
- Have you worked with cloud data platforms? Which ones?
- Can you explain a challenging data problem you solved?
- How do you stay current with data engineering trends and technologies?
