Key skills
PythonSQLAIETLELTData WarehousingData LakeAnalyticsAirflowDecision Making
About this role
Acunor is seeking a Senior Data Analytics Engineer to design and build scalable data pipelines and platforms that support analytics, reporting, and AI initiatives. This role focuses on improving data infrastructure and enabling data-driven decision making.
Responsibilities:
- Design and maintain ETL/ELT pipelines for batch and near real-time data processing
- Build and optimize data warehouse and data lake solutions
- Develop data models for efficient analytics and reporting
- Improve system performance using optimization techniques
- Implement data quality checks, monitoring, and logging
- Collaborate with data architects, analysts, and business stakeholders
- Maintain documentation for data pipelines and workflows
Requirements:
- 10+ Years of experience
- Strong SQL and Python experience
- Hands-on experience with ETL/ELT pipelines
- Knowledge of data warehousing and data modeling concepts
- Experience with cloud data platforms
- Familiarity with Airflow or similar tools
- Understanding of API-based data integration