Senior Data Engineer
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The role
Develop high-quality, secure and scalable data pipelines using Spark (Scala/Python/Java) on Hadoop or object storage like MinIO.
Build and maintain end-to-end DW/Lakehouse solutions handling petabyte-scale data to enable real-time decisioning.
Automate data ingestion, movement, and access workflows; implement robust data engineering standards and best practices.
Collaborate in an Agile/Scrum environment; create user stories, define acceptance criteria, and participate in sprint planning.
Operate across on-premises and cloud environments (AWS, Azure, Databricks) and work with Hive, CDP, and other Hadoop ecosystem tools.
Tackle production incidents independently, troubleshoot performance issues, and contribute to POCs and technology evaluation.
Build and maintain end-to-end DW/Lakehouse solutions handling petabyte-scale data to enable real-time decisioning.
Automate data ingestion, movement, and access workflows; implement robust data engineering standards and best practices.
Collaborate in an Agile/Scrum environment; create user stories, define acceptance criteria, and participate in sprint planning.
Operate across on-premises and cloud environments (AWS, Azure, Databricks) and work with Hive, CDP, and other Hadoop ecosystem tools.
Tackle production incidents independently, troubleshoot performance issues, and contribute to POCs and technology evaluation.
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