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Lead Data Engineer
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Full-time
- Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Lambda, Kafka, Airflow, Redshift, S3, Glue, and EMR
- 10+ years of experience in data engineering on distributed frameworks such as Spark, Databricks, Kafka Streams, Hadoop etc
- 10+ years experience in engineering data pipelines using data technologies (Python, pySpark, Airflow) on large scale data sets
- Familiarity with AWS Services (Redshift, RDS, EKS, S3, EMR, Glue, Lambda)
- Experience using GitHub, Docker, Terraform, CodeFresh, Jira
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