Data Engineer
2 days ago
Description
- Strong proficiency in Python for data processing and ETL
- Advanced SQL skills, including query optimization, indexing, joins, and analytical functions
- Hands-on experience with ClickHouse, MongoDB, Redis, and ElasticSearch
- Proficiency in Apache Spark/PySpark and working with data lakes
- Experience with ETL and data ingestion tools such as Apache NiFi
- Familiarity with messaging and streaming platforms like Kafka, RabbitMQ, and ActiveMQ
- Experience with workflow orchestration frameworks such as Apache Airflow
- Exposure to cloud platforms (AWS, GCP, or Azure) and their data services (S3, Redshift, BigQuery, Dataproc, etc.)
- Understanding of data warehousing, data modeling, and performance optimization techniques
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