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Job Title:
Analytics Engineer
Job Summary:
As an Analytics Engineer, you will be responsible for developing and maintaining our data transformation layer, ensuring data quality, and optimizing data pipelines for our analytics, reporting, and data science teams. You will work closely with our cross-functional teams to ensure that our data is accurate, reliable, and accessible. You will also be responsible for identifying opportunities to improve our data infrastructure and recommending new technologies and tools.
Responsibilities:
- Develop and maintain data transformation pipelines using dbt to support our analytics, reporting and data science teams
- Ensure the accuracy, completeness, and consistency of our data by implementing data quality checks and processes
- Optimize data pipelines for performance and scalability, ensuring that our data is accessible and usable for our cross-functional teams
- Collaborate with cross-functional teams to identify and solve data-related problems and provide insights on data infrastructure improvements
- Monitor and troubleshoot data pipeline issues and work to resolve them in a timely manner
- Develop and maintain technical documentation for our data infrastructure, including data models, schema definitions, and transformation processes
Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, or a related field
- 3+ years of experience in analytics engineering
- Strong programming skills in SQL and Python, experience with dbt is a bonus
- Experience with data modeling, database design, and data warehousing concepts
- Strong problem-solving and analytical skills with a keen attention to detail
- Strong communication and collaboration skills with the ability to work effectively in a team environment
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Equal Employment Opportunity Statement
Gravity IT Resources is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected characteristic. All employment decisions are based on qualifications, merit, and business needs.