
Highly Experienced Data Engineer
4 days ago
Skill Set:
AWS, Snowflake, Kafka, Airflow, GitHub, PySpark
Key Responsibilities:
Design and develop scalable ETL pipelines to ingest data from various sources.
Ingest APIs, databases, and files. Implement real-time and batch processing solutions based on requirements.
Ensure data quality through validation and cleansing processes. Collaborate with Product Managers and Business Stakeholders to understand data needs.
Translate business needs into technical specifications. Ensure data security and compliance.
Maintain documentation and follow best practices for data engineering.
The ideal candidate has 4-8 years of experience with Snowflake, Airflow, and Pyspark in a cloud platform such as AWS or Azure.
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