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Lead Data Engineer
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Full-time
- Design and build robust, scalable solutions and data pipelines to automate the ingestion, processing and delivery of all types of data: structured and unstructured, batch, and real-time streaming data.
- At least 4 years of experience in data engineering working with Big Data Technologies: Apache Spark, Pyspark, Hadoop, and DataBricks with delta lake
- At least 1 year of experience working with the following Cloud technologies: AWS, Azure, GitHub, Bamboo, Chef or Terraform.
- Experience with Apache Airflow, Hive, Snowflake, Kafka, Python
- Experience in ETL, SQL, Informatica, Power exchange, Databases like SQL server, DB2, Oracle
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