Lead design, development, maintenance of robust data pipelines and ETL processes for
Collaborate with data analysts, scientists, product engineers, product managers for impactful data
Architect and maintain infrastructure for ingesting, processing, managing data in analytics data
Develop and optimize analytics-oriented data models for business decision-making
Champion data quality, consistency, governance across analytics layer
Design and implement scalable data pipelines for analytical workloads

🎯 Requirements

3+ years experience as Data Engineer or similar
Expertise in SQL and proficiency in Python for data engineering
Proven experience with analytics data models and warehouses
Hands-on experience with data pipelines and ETL/ELT frameworks (Airflow, DBT)
Strong experience with cloud data services (AWS, GCP, Azure)
AI proficiency: hands-on use of AI coding assistants like Claude in daily workflow

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