Senior Data Engineer
- Рівень:
- senior
- Джерело:
- djinni.co
Що робити
- Design, implement, and maintain scalable and reliable data pipelines using Python, dbt, and AWS Lambda;
- Build and optimize data architectures to support analytics, reporting, and machine learning use cases, including data warehouse and data mart modeling on PostgreSQL (Aurora Serverless);
- Develop and manage ELT workflows that extract data from MongoDB (using Atlas triggers) and load into staging and production layers in PostgreSQL;
- Ensure data consistency and lineage by applying robust data quality checks, auditing, and reconciliation logic;
- Collaborate with cross-functional teams to gather data requirements, understand business logic, and translate them into efficient data models and transformations;
Що очікуємо
- 4+ years of experience in Data Engineering or related roles;
- Strong SQL skills and hands-on experience with PostgreSQL (including Aurora Serverless);
- Solid knowledge of Python for data processing and automation;
- Experience building and maintaining ETL/ELT pipelines using cloud-native tools (e.g., AWS Lambda, S3, SQS);
- Proven experience working with MongoDB and MongoDB Atlas, including event-driven architectures using Atlas Triggers, Stream Processing;
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