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5 hours ago
We are seeking a highly skilled and experienced Data Engineer to join our team. The ideal candidate will have a strong background in designing and building scalable data pipelines, with hands-on experience in Kafka, AWS Redshift, Snowflake, PySpark, and Apache Airflow.
Key Responsibilities:- Design and develop efficient data pipelines that meet business requirements.
- Integrate and process data from diverse sources using Apache Kafka and other ingestion tools.
- Build ETL workflows leveraging PySpark and manage orchestration with Apache Airflow.
- Optimize data warehousing solutions using Amazon Redshift and Snowflake.
- Collaborate with data analysts and scientists to understand data requirements and deliver solutions.
- Monitor and troubleshoot data pipeline issues and ensure data integrity.
- Ensure best practices for data quality, security, and compliance are followed.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 4+ years of experience in Data Engineering or a similar role.
- Strong programming skills in Python, particularly with PySpark.
- Proven experience with Apache Kafka for real-time data streaming.
- Hands-on experience with AWS Redshift and Snowflake for data warehousing.
- Solid understanding and practical experience with Airflow for workflow orchestration.
- Proficient in writing complex SQL queries for data transformation and reporting.
- Experience with cloud platforms (AWS, GCP, or Azure).
- Familiarity with containerization tools (Docker).
- Exposure to CI/CD pipelines and DevOps practices in data engineering.
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