Apexon
Linkedin · Posted 7d ago
Data Engineer
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Indexed description
- Strong background in data processing & software engineering and can build high-quality, scalable data oriented products.
- Industry experience working with distributed data technologies (e.g. Hadoop, MapReduce, Spark, EMR, etc..) for building efficient, large-scale data pipelines.
- Strong Software Engineering experience with in depth understanding of Python, Scala, Java or equivalent
- Strong understanding of data architecture, modeling and infrastructure
- Experience with building workflows (ETL pipelines)
- Experience with SQL and optimizing queries
- Problem solver with attention to detail who can see complex problems in the data space through end to end
- Willingness to work in a fast paced environment
- MS/BS in Computer Science or relevant industry experience.
Strongly recommended (but optional)
- Experience building scalable applications on the Cloud (Amazon AWS, Google Cloud, etc..)
- Experience building stream-processing applications (Spark streaming, Apache-Flink, Kafka, etc..)
- Experience with Databricks and Snowflake
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