MiddleRemote
Data & Analytics Engineer
О роли
Описание вакансии
About the company
- Position listed on behalf of a partner company managing all applications and next steps.
- Partner is looking for a Data & Analytics Engineer based in India.
Responsibilities
- Design, maintain, and optimize ETL/ELT pipelines to ensure accurate, timely, and reliable data flows into BigQuery.
- Build and manage data infrastructure that supports sales reporting, analytics, and revenue operations.
- Monitor, audit, troubleshoot, and validate datasets to maintain high standards of accuracy, consistency, completeness, and integrity.
- Develop, maintain, and continuously improve Looker Studio dashboards and reporting solutions.
- Optimize SQL queries, data models, pipelines, and reporting workflows for performance and efficiency.
- Investigate reporting anomalies and data inconsistencies, identify root causes, and implement lasting solutions.
- Automate manual reporting processes and build scalable workflows.
- Translate raw and fragmented data into meaningful metrics, trends, and insights.
- Partner closely with sales and operational stakeholders to understand reporting requirements.
Requirements
- Strong professional experience in data engineering, analytics engineering, business intelligence, or a closely related field.
- Advanced SQL skills, including the ability to write, troubleshoot, and optimize complex queries.
- Strong Python capabilities and the ability to use Python to solve practical data engineering and automation challenges.
- Hands-on experience building and optimizing ETL/ELT pipelines and working with data warehouses, particularly BigQuery.
- Experience developing dashboards and reporting solutions in Looker Studio or similar business intelligence platforms.
- Strong understanding of data quality, validation, integrity, consistency, and troubleshooting practices.
- Comfortable working remotely with teams operating on U.S. working hours; availability from 9:00 AM to 6:00 PM PST, Monday to Friday, is required.
Conditions
- Fully remote, full-time position.
- Compensation of $8–$10 USD per hour.
- Monday-to-Friday schedule.
- Opportunity to work on revenue-critical data infrastructure and analytics systems.
Стек и навыки
С чем работаем