Job Description:
-
Develop and maintain batch and streaming data pipelines as per platform standards
-
Implement data workflows using Apache Airflow
-
Build batch data transformations using Apache Spark (PySpark / Spark SQL)
-
Develop real-time and streaming pipelines using Apache Flink
-
Write and manage data in Apache Iceberg tables using Project Nessie
-
Ensure pipelines meet performance reliability and data quality requirements
-
Debug and resolve pipeline failures and data inconsistencies
-
Collaborate with Data Engineering Leads on pipeline design and optimization
-
Work closely with DevOps Engineers for deployments and runtime support
-
Follow established coding standards review processes and documentation practices
Job Description: Develop and maintain batch and streaming data pipelines as per platform standards Implement data workflows using Apache Airflow Build batch data transformations using Apache Spark (PySpark / Spark SQL) Develop real-time and streaming pipelines using Apache Flink Write ...
Job Description:
-
Develop and maintain batch and streaming data pipelines as per platform standards
-
Implement data workflows using Apache Airflow
-
Build batch data transformations using Apache Spark (PySpark / Spark SQL)
-
Develop real-time and streaming pipelines using Apache Flink
-
Write and manage data in Apache Iceberg tables using Project Nessie
-
Ensure pipelines meet performance reliability and data quality requirements
-
Debug and resolve pipeline failures and data inconsistencies
-
Collaborate with Data Engineering Leads on pipeline design and optimization
-
Work closely with DevOps Engineers for deployments and runtime support
-
Follow established coding standards review processes and documentation practices
View more
View less