Data Engineer – L2
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Job Description
Data Engineer building and maintaining data pipelines for marketing analytics and support across business teams. Contributing to data ingestion and modelling from various platforms with a focus on Meta Ads.
Responsibilities:
- Build and maintain data ingestion pipelines from APIs and other data sources
- Write efficient Python and SQL for data transformation and processing
- Support ETL/ELT workflows, microservices and ensure timely data availability
- Troubleshoot pipeline failures and assist in performance improvements
- Assist in ingestion and modeling of data from Meta Ads and similar platforms
- Help create datasets for campaign performance reporting and lead funnel tracking
- Work with marketing and analytics teams to understand data requirements
- Help translate business needs into data queries and datasets
- Implement basic data validation checks
- Monitor pipelines and resolve data issues
- Maintain documentation for pipelines and datasets
Requirements:
- Proficiency in Python (data processing, API handling)
- Strong SQL skills
- Experience with data ingestion from APIs (basic handling of pagination, retries)
- Familiarity with workflow orchestration tools (e.g., Airflow or similar)
- Exposure to cloud data warehouses (BigQuery, etc.)
- Basic understanding of Meta Ads platform concepts
- Familiarity with marketing metrics (CTR, CPC, conversions)
- Good problem-solving and debugging skills
- Ability to work in a collaborative, cross-functional environment
- Clear communication of technical work and issues
Benefits:
- Day off on the 3rd Friday of every month (one long weekend each month)
- Monthly Wellness Reimbursement Program to promote health well-being
- Monthly Office Commutation Reimbursement Program
- Paid paternity and maternity leaves
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